Triple

T9657005
Position Surface form Disambiguated ID Type / Status
Subject Bean E233483 entity
Predicate birthName P65 FINISHED
Object Coleman Randolph Hawkins E259519 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: Coleman Randolph Hawkins | Statement: [Bean, birthName, Coleman Randolph Hawkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coleman Randolph Hawkins
Context triple: [Bean, birthName, Coleman Randolph Hawkins]
  • A. Coleman Randolph Hawkins chosen
    Coleman Randolph Hawkins was an influential American jazz tenor saxophonist, often credited with establishing the saxophone as a leading solo instrument in jazz.
  • B. Cornelius Lance Hawkins
    Cornelius Lance "Connie" Hawkins was an American Hall of Fame basketball player renowned for his acrobatic, above-the-rim style and pioneering influence on modern basketball.
  • C. Erskine Hawkins
    Erskine Hawkins was an American trumpeter and big band leader best known for his swing-era hit "Tuxedo Junction."
  • D. Willis Hawkins
    Willis Hawkins was an American aeronautical engineer best known for his influential design work at Lockheed, including major contributions to iconic military transport aircraft.
  • E. Lloyd Haynes
    Lloyd Haynes was an American actor best known for his television work in the 1960s and 1970s, particularly for his role as a schoolteacher on the series "Room 222."
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a07444c819099d7462c38f6da49 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.