Triple

T7320879
Position Surface form Disambiguated ID Type / Status
Subject Greg Corbin E168540 entity
Predicate neighborOf P350 FINISHED
Object Stan Smith E24163 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: Stan Smith | Statement: [Greg Corbin, neighborOf, Stan Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Smith
Context triple: [Greg Corbin, neighborOf, Stan Smith]
  • A. Stan Smith chosen
    Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
  • B. Joe Smith
    Joe Smith is a former American professional basketball player and 1995 NBA first overall draft pick who starred as a forward at the University of Maryland.
  • C. Michael Thorpe
    Michael Thorpe is a relatively obscure individual whose specific public achievements or distinguishing characteristics are not widely documented.
  • D. Bob Mathias
    Bob Mathias was an American decathlete who became one of the youngest Olympic champions and later a two-time gold medalist and U.S. Congressman.
  • E. Reggie Smith
    Reggie Smith is a former Major League Baseball outfielder and switch-hitter best known as a seven-time All-Star who starred for the Boston Red Sox, St. Louis Cardinals, and Los Angeles Dodgers in the late 1960s and 1970s.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1ba58481909cfb5030b85f385a completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.