Triple

T9781504
Position Surface form Disambiguated ID Type / Status
Subject Timothy Fuller E237383 entity
Predicate familyName P18 FINISHED
Object Fuller E80984 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: Fuller | Statement: [Timothy Fuller, familyName, Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuller
Context triple: [Timothy Fuller, familyName, Fuller]
  • A. Fuller chosen
    Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
  • B. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • C. Fulpmes
    Fulpmes is a Tyrolean village in western Austria known for its alpine setting in the Stubai Valley and its tradition of metalworking and tourism.
  • D. Lovejoy
    Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
  • E. Lovejoy
    Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.