Triple

T19872771
Position Surface form Disambiguated ID Type / Status
Subject Keyshia & Daniel: Family First E477560 entity
Predicate hasCastMember P2308 FINISHED
Object Daniel Gibson E521621 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: Daniel Gibson | Statement: [Keyshia & Daniel: Family First, hasCastMember, Daniel Gibson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Gibson
Context triple: [Keyshia & Daniel: Family First, hasCastMember, Daniel Gibson]
  • A. Daniel Gibson chosen
    Daniel Gibson is a former American professional basketball player who played as a guard for the Cleveland Cavaliers in the NBA.
  • B. Charles Gibson
    Charles Gibson is a visual effects artist and industry figure best known for co-founding the acclaimed VFX company Rhythm & Hues Studios.
  • C. John Gibson
    John Gibson is an American professional ice hockey goaltender best known for his standout NHL career with the Anaheim Ducks and international play for Team USA.
  • D. John Gibson
    John Gibson was a colonial-era frontiersman and interpreter known for mediating between Native American leaders and British or American officials.
  • E. John Gibson
    John Gibson was a 19th-century British architect known for designing prominent public buildings in a classical style.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6d7d89081909e9d177eb1041f41 completed May 16, 2026, 4:47 a.m.
Created at: April 10, 2026, 1:51 p.m.