Triple

T17246074
Position Surface form Disambiguated ID Type / Status
Subject Justin E418627 entity
Predicate hasFeminineForm P1613 FINISHED
Object Justine E871571 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: Justine | Statement: [Justin, hasFeminineForm, Justine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justine
Context triple: [Justin, hasFeminineForm, Justine]
  • A. Justine
    Justine is the naive college student protagonist who joins an activist trip to the Amazon that turns into a brutal fight for survival in the horror film "The Green Inferno."
  • B. Justine
    Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
  • C. Justine
    Justine is a character from the 1960 horror film "The Hypnotic Eye," involved in the movie’s sinister plot centered on mind control and mysterious disfigurements.
  • D. Justine chosen
    Justine is a given name commonly used for women in various cultures, derived from the Latin name Justina meaning "just" or "righteous."
  • E. Justine Elliot
    Justine Elliot is an Australian Labor Party politician who has served as the federal Member of Parliament for the New South Wales seat of Richmond.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e23b8948190870d0e6b4e55b4e3 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.