Triple

T14606551
Position Surface form Disambiguated ID Type / Status
Subject Libby Gates E342844 entity
Predicate givenName P17 FINISHED
Object Libby unclear NED1 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: Libby | Statement: [Libby Gates, givenName, Libby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libby
Context triple: [Libby Gates, givenName, Libby]
  • A. Libby
    Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
  • B. Libby
    Libby is a small city in northwestern Montana known for its scenic setting near the Kootenai River and surrounding forests and mountains.
  • C. Abbie
    Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
  • D. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • E. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.