Triple

T32129367
Position Surface form Disambiguated ID Type / Status
Subject Elliot Stabler – Christopher Meloni E820597 entity
Predicate spinoffInvolvement P29864 FINISHED
Object Law & Order: Organized Crime spinoff 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: Law & Order: Organized Crime spinoff | Statement: [Elliot Stabler – Christopher Meloni, spinoffInvolvement, Law & Order: Organized Crime spinoff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spinoffInvolvement
Context triple: [Elliot Stabler – Christopher Meloni, spinoffInvolvement, Law & Order: Organized Crime spinoff]
  • A. spinoffMemberOf
    Indicates that one entity originated as a spinoff from, and is organizationally or historically derived from, another entity.
  • B. spinoffRelation
    Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
  • C. spinoffAppearance chosen
    Indicates that an entity appears in a derivative or spinoff work related to another original work or series.
  • D. spinoffCreatorOf
    Indicates that one entity created or developed a spinoff derived from another entity.
  • E. spinOff
    Indicates that a new entity is created by separating or divesting part of an existing entity, forming an independent offshoot derived from the original.
  • 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_69f6b96e3dd481908c16b85c5db74adf completed May 3, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:29 a.m.