Triple

T11812278
Position Surface form Disambiguated ID Type / Status
Subject Tamika Catchings E280901 entity
Predicate familyName P18 FINISHED
Object Catchings E280901 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: Catchings | Statement: [Tamika Catchings, familyName, Catchings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catchings
Context triple: [Tamika Catchings, familyName, Catchings]
  • A. Catchings chosen
    Catchings is the surname of Tamika Catchings, a renowned American professional basketball player and Hall of Famer.
  • B. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • C. Nightingall
    Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
  • D. Cunningham
    Cunningham is a common Scottish surname borne by numerous notable individuals across fields such as technology, politics, sports, and the arts.
  • E. The Catch
    The Catch is an American television drama series blending crime, romance, and suspense, produced by Shondaland and aired on ABC as part of Shonda Rhimes’ slate of primetime shows.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5cba708819097467bb7aca7fc65 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131a01aa48190bf5a70759ac886f6 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.