Triple

T14900392
Position Surface form Disambiguated ID Type / Status
Subject Vantage Point E359987 entity
Predicate starring P1507 FINISHED
Object Ayelet Zurer E89512 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: Ayelet Zurer | Statement: [Vantage Point, starring, Ayelet Zurer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayelet Zurer
Context triple: [Vantage Point, starring, Ayelet Zurer]
  • A. Ayelet Zurer chosen
    Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
  • B. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • C. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • D. Leora Barish
    Leora Barish is an American screenwriter best known for her work on neo-noir and thriller films, including co-writing the sequel to the iconic erotic thriller "Basic Instinct."
  • E. Nina Katzir
    Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded609bf68819099ca3aa3fe1acadc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b30c6881908b80ca96fb5b716f completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.