Triple

T6150612
Position Surface form Disambiguated ID Type / Status
Subject The Game Plan E137189 entity
Predicate starring 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 Game Plan, starring, Morris Chestnut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morris Chestnut
Context triple: [The Game Plan, starring, 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce329648190a03ba0233df841fa completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1417c33d08190bd42558cc734601f completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:16 p.m.