Triple

T8960090
Position Surface form Disambiguated ID Type / Status
Subject Christine Lahti E213978 entity
Predicate starredIn P1668 FINISHED
Object And Justice for All E446399 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: And Justice for All | Statement: [Christine Lahti, starredIn, And Justice for All]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: And Justice for All
Context triple: [Christine Lahti, starredIn, And Justice for All]
  • A. And Justice for All chosen
    "And Justice for All" is a 1979 American legal drama film starring Al Pacino as an idealistic defense attorney confronting corruption in the justice system.
  • B. Justitia Omnibus
    Justitia Omnibus is the Latin motto of Washington, D.C., meaning "Justice for All."
  • C. Segnatura di Giustizia
    The Segnatura di Giustizia was the supreme judicial tribunal of the Papal States, responsible for administering high-level justice under papal authority.
  • D. Scales of Justice
    Scales of Justice is a legal drama work by Michael Jenkins that explores the complexities and moral ambiguities within the justice system.
  • E. Grand Justice
    Grand Justice is a high-ranking constitutional judge serving on Taiwan’s Judicial Yuan, responsible for interpreting the Constitution and overseeing constitutional matters.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a31bd88190b8bf836ea44c99f5 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7 p.m.