Triple

T15969356
Position Surface form Disambiguated ID Type / Status
Subject Gershon E387278 entity
Predicate givenName P17 FINISHED
Object Gershon E387278 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: Gershon | Statement: [Gershon, givenName, Gershon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gershon
Context triple: [Gershon, givenName, Gershon]
  • A. Gershon
    Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
  • B. Gershon chosen
    Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
  • C. Gershom
    Gershom is the firstborn son of Moses and Zipporah mentioned in the Hebrew Bible.
  • D. Gershe
    Gershe is a surname most notably associated with Leonard Gershe, an American playwright, screenwriter, and lyricist.
  • E. Gidon
    Gidon is a male given name most notably borne by the renowned Latvian violinist Gidon Kremer.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe88fa308190942d37cf67458396 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.