Triple

T27875487
Position Surface form Disambiguated ID Type / Status
Subject Marius Josipović E704918 entity
Predicate hasFormerCellmate P180019 FINISHED
Object Pete Murphy
Pete Murphy is a fictional character best known as the former cellmate of con man Marius Josipović in the television series "Sneaky Pete."
 E700740 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: Pete Murphy | Statement: [Marius Josipović, hasFormerCellmate, Pete Murphy]
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: Pete Murphy
Triple: [Marius Josipović, hasFormerCellmate, Pete Murphy]
Generated description
Pete Murphy is a fictional character best known as the former cellmate of con man Marius Josipović in the television series "Sneaky Pete."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerCellmate
Context triple: [Marius Josipović, hasFormerCellmate, Pete Murphy]
  • A. hasFormerInmate
    Indicates that an entity previously housed or supervised an individual who was once an inmate there.
  • B. hasBeenImprisoned
    Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
  • C. hasBeenImprisonedBy
    Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
  • D. hasPrison
    Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
  • E. hasPrisoners
    Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
  • 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_69ef84111bb4819084298f994b31c62f completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a13035075608190b56930e2ba7b5a2b completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a130730b0e8819093a881f53db6cc1e completed May 24, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a1307d1eb2c8190bb4dd0e83bfbfc49 completed May 24, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
PDg Predicate description generation batch_69f730890a008190a882f7828f1c9162 completed May 3, 2026, 11:24 a.m.
Created at: April 27, 2026, 6:27 p.m.