Triple

T6953296
Position Surface form Disambiguated ID Type / Status
Subject The Best Man E161179 entity
Predicate leadActor P1507 FINISHED
Object Morris Chestnut E164800 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: Morris Chestnut | Statement: [The Best Man, leadActor, Morris Chestnut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morris Chestnut
Context triple: [The Best Man, leadActor, Morris Chestnut]
  • A. Morris Chestnut chosen
    Morris Chestnut is an American actor known for his charismatic leading roles in films and television series, particularly in romantic comedies and dramas.
  • B. Haason Reddick
    Haason Reddick is an American professional football linebacker known for his pass-rushing prowess in the NFL.
  • C. Kemba Walker
    Kemba Walker is an American professional basketball point guard best known for his All-Star tenure with the Charlotte Hornets and his clutch scoring ability.
  • D. Delonte West
    Delonte West is a former American professional basketball guard best known for his NBA career with teams like the Boston Celtics and Cleveland Cavaliers.
  • E. Cedric Yarbrough
    Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dab18d648190a2f238fce3e59365 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7587ee1b08190b9f53ab7df4a4a58 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.