Triple

T23512541
Position Surface form Disambiguated ID Type / Status
Subject Warden Hogan E572464 entity
Predicate casePetitioner P152662 FINISHED
Object Malloy
Malloy is the petitioner in the legal case overseen by Warden Hogan.
E1591532 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malloy | Statement: [Warden Hogan, casePetitioner, Malloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malloy
Context triple: [Warden Hogan, casePetitioner, Malloy]
  • A. Malloy
    Malloy is a foul-mouthed, sarcastic talking bear cub from the animated TV series "Brickleberry."
  • B. Lamont
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • C. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • D. O'Malley
    O'Malley is an Irish-origin surname commonly associated with notable figures in politics, sports, and entertainment.
  • E. Turk Malloy
    Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malloy
Triple: [Warden Hogan, casePetitioner, Malloy]
Generated description
Malloy is the petitioner in the legal case overseen by Warden Hogan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malloy
Target entity description: Malloy is the petitioner in the legal case overseen by Warden Hogan.
  • A. Malloy
    Malloy is a foul-mouthed, sarcastic talking bear cub from the animated TV series "Brickleberry."
  • B. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • C. Lamont
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • D. O'Malley
    O'Malley is an Irish-origin surname commonly associated with notable figures in politics, sports, and entertainment.
  • E. Turk Malloy
    Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casePetitioner
Context triple: [Warden Hogan, casePetitioner, Malloy]
  • A. petitioner
    Indicates a relationship where one party formally requests a legal remedy or action from a court or authority.
  • B. petitionerRole
    Indicates the role or capacity in which a petitioner is acting within a legal or formal proceeding.
  • C. partyToCase
    Indicates that an entity is involved in a legal case as one of its formal participants (e.g., plaintiff, defendant, or other party).
  • D. formerClaimant
    Indicates that an entity previously held the status of claimant in a claim or dispute but no longer does so.
  • E. partyTypePlaintiffs
    Indicates the classification or category of the parties serving as plaintiffs in a legal action.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7f583881909e78e8fe2e6e25fe completed April 29, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf46f18c81908dfe27a37d667f18 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce1e95ad48190bcf2f07f169b8276 completed May 19, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce26bb9bc8190826a14b9c894bfd9 completed May 19, 2026, 10:21 p.m.
PD Predicate disambiguation batch_69f0621165c08190a0b27b1319733959 completed April 28, 2026, 7:30 a.m.
PDg Predicate description generation batch_69f0bd4a0e408190ad8916faf23562d9 completed April 28, 2026, 1:59 p.m.
Created at: April 17, 2026, 6:07 p.m.