Triple

T5866021
Position Surface form Disambiguated ID Type / Status
Subject USF Dons E130395 entity
Predicate notablePlayer P304 FINISHED
Object Phil Smith E109482 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: Phil Smith | Statement: [USF Dons, notablePlayer, Phil Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Smith
Context triple: [USF Dons, notablePlayer, Phil Smith]
  • A. Phil Smith chosen
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • B. Carl Smith
    Carl Smith was an American country music singer and guitarist prominent in the 1950s, known for hits like "Hey Joe" and for his influential honky-tonk style.
  • C. Nick Smith
    Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
  • D. Art Smith
    Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
  • E. Art Smith
    Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035bfa8188190ab0e28101fdf5e6f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f946348190ab6fa7c2c203924f completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:56 p.m.