Triple

T21673143
Position Surface form Disambiguated ID Type / Status
Subject The Firm E534903 entity
Predicate associatedAct P37 FINISHED
Object The Law 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: The Law | Statement: [The Firm, associatedAct, The Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Law
Context triple: [The Firm, associatedAct, The Law]
  • A. The Law
    The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
  • B. The Law chosen
    The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
  • C. The Law
    The Law was a short-lived late-1980s rock supergroup formed by singer Paul Rodgers and drummer Kenney Jones, known for blending blues-rock and hard rock.
  • D. The Laws
    The Laws is Plato’s longest and one of his latest dialogues, presenting a detailed vision of legislation and political organization for an ideal city-state.
  • E. By the Law
    "By the Law" is a 1926 Soviet silent drama film directed by Lev Kuleshov, renowned for its stark psychological portrayal of moral conflict and its innovative use of montage.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0e06688190a75ea29534f5eed3 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:41 p.m.