Triple

T18934124
Position Surface form Disambiguated ID Type / Status
Subject Michael Benaroya E463194 entity
Predicate notableWork P4 FINISHED
Object Lawless 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: Lawless | Statement: [Michael Benaroya, notableWork, Lawless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawless
Context triple: [Michael Benaroya, notableWork, Lawless]
  • A. Lawless chosen
    Lawless is a 2012 crime drama film about Prohibition-era bootleggers in Virginia, starring Shia LaBeouf, Tom Hardy, and Jason Clarke.
  • B. Law of the Lawless
    Law of the Lawless is a 1964 American Western film featuring a frontier judge battling corruption and violence in a lawless town.
  • C. Outlaw
    Outlaw is an American legal drama television series starring Jimmy Smits as a Supreme Court justice who resigns to return to private practice and fight for social justice.
  • D. Outlaw
    Outlaw is a film featuring actor Jesse Bradford in a prominent role.
  • E. Outlaw
    Outlaw is a song by the British band Alabama 3, known for their fusion of electronic, blues, country, and acid house influences.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e57e648190aa4d3b09e84d4d38 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.