Triple

T27186452
Position Surface form Disambiguated ID Type / Status
Subject Wayne Palmer E683345 entity
Predicate hasGivenTitle P65893 FINISHED
Object President Palmer
President Palmer is the title held by Wayne Palmer, a fictional U.S. president in the television series "24."
 E1761767 NE FINISHED

How this triple was built (3 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: President Palmer | Statement: [Wayne Palmer, hasGivenTitle, President Palmer]
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: President Palmer
Triple: [Wayne Palmer, hasGivenTitle, President Palmer]
Generated description
President Palmer is the title held by Wayne Palmer, a fictional U.S. president in the television series "24."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasGivenTitle
Context triple: [Wayne Palmer, hasGivenTitle, President Palmer]
  • A. hasGivenNameInTitle
    Indicates that the given name of an entity appears within the title of another entity.
  • B. hasTitleSince
    Indicates that an entity has held a particular title continuously starting from a specified point in time.
  • C. hasReceivedTitle
    Indicates that an entity has been granted or awarded a specific title or honor.
  • D. hasTitleCreatedIn
    Indicates that a title held by an entity was created or established in a specific time or period.
  • E. hasTitleIn chosen
    Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
  • F. None of above.

Provenance (6 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_69eefad140408190b8586fdebcf9af46 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12539202448190a233906534e9ce86 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a1254e770288190994c682cfe0f8c9d completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12558ffcd08190b9a167ead908e052 completed May 24, 2026, 1:34 a.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 9:30 a.m.