Triple

T3211368
Position Surface form Disambiguated ID Type / Status
Subject No Mistakes E67287 entity
Predicate associatedWithArtist P5936 FINISHED
Object Charlie Wilson E337892 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: Charlie Wilson | Statement: [No Mistakes, associatedWithArtist, Charlie Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Wilson
Context triple: [No Mistakes, associatedWithArtist, Charlie Wilson]
  • A. Charlie Wilson
    Charlie Wilson was a U.S. Congressman from Texas known for orchestrating covert support to Afghan mujahideen during the Soviet–Afghan War, an effort dramatized in the film "Charlie Wilson's War."
  • B. Charlie Wilson chosen
    Charlie Wilson is an American R&B and soul singer best known as the former lead vocalist of The Gap Band and for his successful solo career.
  • C. Richard Johnson
    Richard Johnson was a British actor known for his work in mid-20th-century film and television, including prominent roles in war and horror movies.
  • D. Lavon Hayes
    Lavon Hayes is a charismatic former NFL star and the beloved mayor of Bluebell, Alabama, on the TV series "Hart of Dixie."
  • E. Michael Maddox
    Michael Maddox was an English theatrical entrepreneur who played a key role in developing Russian theatre in the late 18th century, notably helping establish what became the Bolshoi Theatre in Moscow.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaaba224c8190ad2f4e0ed1c2ca4a completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2771204e0819086ae2838a368589a completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.