Triple

T14833307
Position Surface form Disambiguated ID Type / Status
Subject Justine Bateman E348762 entity
Predicate givenName P17 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: [Justine Bateman, givenName, Justine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justine
Context triple: [Justine Bateman, givenName, 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 and Juliette
    Justine and Juliette is a 1975 Swedish erotic drama film, loosely inspired by the works of the Marquis de Sade, known for its explicit exploration of sexuality and moral transgression.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a393988190837fdca148f4058c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.