Triple

T3121295
Position Surface form Disambiguated ID Type / Status
Subject Pietro Scalia E65188 entity
Predicate editedFilm P14416 FINISHED
Object The Counselor E328548 NE 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: The Counselor | Statement: [Pietro Scalia, editedFilm, The Counselor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Counselor
Context triple: [Pietro Scalia, editedFilm, The Counselor]
  • A. The Counselor chosen
    The Counselor is a 2013 crime thriller film directed by Ridley Scott and written by Cormac McCarthy, following a lawyer who becomes entangled in a dangerous drug-trafficking scheme.
  • B. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • C. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • E. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5295cd481908d52e165538c67fa completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224cf54088190a069b4eef0a5f7d2 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.