Triple

T13777093
Position Surface form Disambiguated ID Type / Status
Subject Twista E331036 entity
Predicate alsoKnownAs P39 FINISHED
Object Carl Terrell Mitchell E303809 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: Carl Terrell Mitchell | Statement: [Twista, alsoKnownAs, Carl Terrell Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Terrell Mitchell
Context triple: [Twista, alsoKnownAs, Carl Terrell Mitchell]
  • A. Carl Terrell Mitchell chosen
    Carl Terrell Mitchell is an American rapper better known by his stage name Twista, renowned for his rapid-fire delivery and record-setting fast rapping.
  • B. Stokely Mitchell
    Stokely Mitchell is a goth, alien-fighting high school student and one of the central teen protagonists in the 1998 sci‑fi horror film "The Faculty."
  • C. Melvin Cornell Blount
    Melvin Cornell Blount is a Hall of Fame former NFL cornerback best known for his dominant play with the Pittsburgh Steelers during their 1970s championship era.
  • D. Clifton McNeely
    Clifton McNeely was an American basketball player and coach known for being the first overall pick in the inaugural 1947 BAA (now NBA) draft.
  • E. Lee Roy Mitchell
    Lee Roy Mitchell is an American businessman best known as the founder of the Cinemark movie theater chain.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b8689c8190b3ef7416000ef89e completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 10:10 p.m.