Triple

T4845553
Position Surface form Disambiguated ID Type / Status
Subject Utah Stars E108279 entity
Predicate notablePlayer P304 FINISHED
Object Zelmo Beaty E230088 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: Zelmo Beaty | Statement: [Utah Stars, notablePlayer, Zelmo Beaty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zelmo Beaty
Context triple: [Utah Stars, notablePlayer, Zelmo Beaty]
  • A. Zelmo Beaty chosen
    Zelmo Beaty was an American professional basketball center and Hall of Famer known for his dominant play in both the NBA and ABA during the 1960s and early 1970s.
  • B. Mahlon Sweet
    Mahlon Sweet was a prominent local aviation advocate and civic leader in Eugene, Oregon, whose efforts were instrumental in establishing the city’s municipal airport.
  • C. Walter Bailey
    Walter Bailey was the proprietor of the Lorraine Motel in Memphis, Tennessee, best known as the site of Dr. Martin Luther King Jr.’s assassination and now part of the National Civil Rights Museum.
  • D. Elmer Imes
    Elmer Imes was an American physicist renowned as one of the first African Americans to earn a Ph.D. in physics and for his pioneering work in molecular spectroscopy.
  • E. Clarence Worley
    Clarence Worley is the comic book–loving, Elvis-obsessed protagonist of the crime film "True Romance," who impulsively marries a call girl and becomes entangled in a violent, cross-country escapade.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d020e5c8190aa9ceb4258e713c3 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28f128f48190a8bdaf77b6ca6e15 completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:25 p.m.