Triple

T16772469
Position Surface form Disambiguated ID Type / Status
Subject Ayelet E407632 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ayelet E407632 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 | Statement: [Ayelet, hasVariantSpelling, Ayelet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayelet
Context triple: [Ayelet, hasVariantSpelling, Ayelet]
  • A. Ayelet chosen
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • B. Eynat
    Eynat is a feminine given name of Hebrew origin, commonly used in Israel.
  • C. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • D. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • E. Avital
    Avital is a Hebrew given name commonly used for both males and females, often associated with Israeli culture and notable public figures.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b036ff788190bd9f166c3f127818 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5361c3881909be0fb9b83a59993 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.