Triple

T3349733
Position Surface form Disambiguated ID Type / Status
Subject Gail J. McGovern E70460 entity
Predicate givenName P17 FINISHED
Object Gail E157233 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: Gail | Statement: [Gail J. McGovern, givenName, Gail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail
Context triple: [Gail J. McGovern, givenName, Gail]
  • A. Gail chosen
    Gail is a feminine given name commonly used as a short form of Abigail.
  • B. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • C. Gina
    Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
  • D. Gail Golden
    Gail Golden is an American businesswoman best known as the wife of billionaire investor Carl Icahn.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21f3ae48190a33530712da01bc3 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252adb9c8190b053c8da0c0488a3 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.