Triple

T13392449
Position Surface form Disambiguated ID Type / Status
Subject Fannie Hurst E319608 entity
Predicate givenName P17 FINISHED
Object Fannie E45356 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: Fannie | Statement: [Fannie Hurst, givenName, Fannie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fannie
Context triple: [Fannie Hurst, givenName, Fannie]
  • A. Fannie chosen
    Fannie is a feminine given name, often used in English-speaking countries and historically associated with figures such as the American cookbook author Fannie Farmer.
  • B. Ettie
    Ettie is the official chicken-inspired mascot created for the 2019 FIFA Women’s World Cup in France.
  • C. Doris
    Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
  • D. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • E. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72693a440819095a3136d8f49680a completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.