Triple

T8835633
Position Surface form Disambiguated ID Type / Status
Subject ABA All-Time Team E210259 entity
Predicate player P30628 FINISHED
Object Jimmy Jones E307327 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: Jimmy Jones | Statement: [ABA All-Time Team, player, Jimmy Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Jones
Context triple: [ABA All-Time Team, player, Jimmy Jones]
  • A. Jimmy Jones chosen
    Jimmy Jones is a former professional basketball player best known for his standout career in the American Basketball Association, where he was a multi-time All-Star guard.
  • B. Charlie Jones
    Charlie Jones was a prominent American sportscaster best known for his long tenure as an NFL play-by-play announcer on network television.
  • C. Wil Jones
    Wil Jones is a former professional basketball player best known for his career in the ABA and NBA during the 1970s and early 1980s.
  • D. John Bigman Jones
    John "Bigman" Jones is likely a notable individual known by the nickname "Bigman," suggesting a larger-than-life or prominent persona in his field or community.
  • E. Mel Jones
    Mel Jones is an animated character best known as the mother of the protagonist Coraline in the 2009 stop-motion film "Coraline."
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6069ad7881909e31010e73e26f91 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa069d7488190ade4caa15fa83cd9 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:47 p.m.