Triple

T13245563
Position Surface form Disambiguated ID Type / Status
Subject Jason Paul Taylor E315392 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: [Jason Paul Taylor, familyName, Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor
Context triple: [Jason Paul 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. Taylor
    Taylor is the given name of Taylor Monét Parks, an American singer-songwriter and actress professionally known as Tayla Parx.
  • D. Tyler
    Tyler is a fictional character appearing in the American television series "Kristin."
  • E. Tyler
    Tyler is a masculine given name commonly used in English-speaking countries, originally derived from an occupational surname meaning "tile maker" or "house builder."
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3600388190a7f61370f54d5e63 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.