Triple

T10083986
Position Surface form Disambiguated ID Type / Status
Subject Cedric Daniels E213972 entity
Predicate conflictWith P4897 FINISHED
Object Ervin Burrell E734463 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: Ervin Burrell | Statement: [Cedric Daniels, conflictWith, Ervin Burrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ervin Burrell
Context triple: [Cedric Daniels, conflictWith, Ervin Burrell]
  • A. Ervin Burrell chosen
    Ervin Burrell is a high-ranking, politically minded Baltimore police commander in the television series "The Wire," known for prioritizing statistics and career advancement over substantive police work.
  • B. Henry Burris
    Henry Burris is a former Canadian Football League quarterback best known for his prolific passing career, multiple Grey Cup championships, and status as one of the league’s all-time greats.
  • C. Melvin Booker
    Melvin Booker is a former American professional basketball player and point guard who starred at the University of Missouri and later played in the NBA and overseas.
  • D. Dick Foran
    Dick Foran was an American actor and singer best known for his roles in 1930s and 1940s Westerns and adventure films.
  • E. Darrel Anderson
    Darrel Anderson is an American artist and illustrator best known for his work on Stephen King’s The Dark Tower series.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbcc82988190903efb78d0a4ce81 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9 p.m.