Triple

T3089253
Position Surface form Disambiguated ID Type / Status
Subject Zachary Taylor E64450 entity
Predicate familyName P18 FINISHED
Object Taylor E63210 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: Taylor | Statement: [Zachary Taylor, familyName, Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor
Context triple: [Zachary Taylor, familyName, Taylor]
  • A. Taylor chosen
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • B. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • C. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • D. Tyler
    Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
  • E. Ace
    Ace is the costumed mascot character for the Sacramento River Cats minor league baseball team, entertaining fans at games and events.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.