Triple

T32129365
Position Surface form Disambiguated ID Type / Status
Subject Elliot Stabler – Christopher Meloni E820597 entity
Predicate fictionalOccupationOfCharacter P34569 FINISHED
Object NYPD detective LITERAL FINISHED

How this triple was built (2 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: NYPD detective | Statement: [Elliot Stabler – Christopher Meloni, fictionalOccupationOfCharacter, NYPD detective]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalOccupationOfCharacter
Context triple: [Elliot Stabler – Christopher Meloni, fictionalOccupationOfCharacter, NYPD detective]
  • A. fictionalOccupation chosen
    Indicates that one entity is the imaginary or narrative-based job, role, or profession attributed to another entity within a fictional context.
  • B. fictionalProfessionSpecialty
    Indicates that a fictional character’s professional role is specialized in a particular subfield, focus area, or niche within that profession.
  • C. portrayedProfessionOfCharacter
    Indicates that one entity is the profession or occupation depicted as being held by a particular character.
  • D. laterOccupationInFiction
    Indicates that a fictional character holds a particular occupation at a later point in the narrative or timeline, distinct from their earlier roles.
  • E. hasFictionalProfessionLevel
    Indicates that an entity holds a fictional or imagined profession at a specified level, rank, or degree of expertise.
  • F. None of above.

Provenance (3 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_69f34902d42c819083a8e6bba9a8bb9a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: May 1, 2026, 12:29 a.m.