Triple

T22948257
Position Surface form Disambiguated ID Type / Status
Subject Rosewood E569933 entity
Predicate stars P1956 FINISHED
Object Elise Neal 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: Elise Neal | Statement: [Rosewood, stars, Elise Neal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elise Neal
Context triple: [Rosewood, stars, Elise Neal]
  • A. Elise Neal chosen
    Elise Neal is an American actress best known for her work in film and television, including prominent roles in 1990s and 2000s sitcoms and dramas.
  • B. Elise Mills
    Elise Mills was a member of the prominent Mills family, known primarily as the daughter of influential American financier and philanthropist Darius Ogden Mills.
  • C. Elise Montgomery
    Elise Montgomery is a journalist or interviewer known for conducting an interview with Wayne Hays.
  • D. Elise McKenna
    Elise McKenna is the fictional early-20th-century stage actress who serves as the central love interest in the time-travel romance film "Somewhere in Time."
  • E. Elise McCredie
    Elise McCredie is an Australian screenwriter, director, and producer known for her work on acclaimed television dramas and miniseries.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819fbf8c8190ad80c93f1507aa73 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.