Triple

T15565802
Position Surface form Disambiguated ID Type / Status
Subject The Old Man and the Gun E371110 entity
Predicate star P23405 FINISHED
Object Tika Sumpter E825320 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: Tika Sumpter | Statement: [The Old Man and the Gun, star, Tika Sumpter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tika Sumpter
Context triple: [The Old Man and the Gun, star, Tika Sumpter]
  • A. Tika Sumpter chosen
    Tika Sumpter is an American actress, producer, and television host known for her roles in film and television, including prominent performances in projects like "Ride Along," "Southside with You," and the series "The Haves and the Have Nots."
  • B. Deva Cassel
    Deva Cassel is an Italian model and emerging actress, known as the daughter of Monica Bellucci and Vincent Cassel.
  • C. Angelica Bullock
    Angelica Bullock is the eccentric, status-conscious matriarch of the wealthy Bullock family in the classic screwball comedy film "My Man Godfrey."
  • D. Karla Redding
    Karla Redding is the daughter of legendary soul singer Otis Redding and an active steward of his musical legacy through preservation and philanthropic work.
  • E. Justine Lupe
    Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456a3b08819092f9f517bbef5577 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:10 a.m.