Triple

T17586535
Position Surface form Disambiguated ID Type / Status
Subject Walon Green E428335 entity
Predicate workOn P30363 FINISHED
Object Law & Order NE NERFINISHED

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 | Statement: [Walon Green, workOn, Law & Order]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Law & Order
Context triple: [Walon Green, workOn, Law & Order]
  • A. Law & Order chosen
    Law & Order is a long-running American television crime and legal drama series that follows police investigations and subsequent courtroom prosecutions in New York City.
  • B. Law and Order
    "Law and Order" is a sociological work by Ralf Dahrendorf that analyzes the relationship between social conflict, authority, and the maintenance of social order in modern societies.
  • C. Law & Order: True Crime
    Law & Order: True Crime is an American true-crime anthology television series that dramatizes real-life high-profile criminal cases within the broader Law & Order franchise.
  • D. Law & Order: Special Victims Unit
    Law & Order: Special Victims Unit is a long-running American crime drama television series that follows a specialized NYPD unit investigating sexually based offenses and other sensitive crimes.
  • E. Law's Order
    Law's Order is a book by economist and legal scholar David D. Friedman that applies economic analysis to the structure and functioning of legal systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.