Triple

T20898439
Position Surface form Disambiguated ID Type / Status
Subject Mississippi Grind E514604 entity
Predicate starring P1507 FINISHED
Object Analeigh Tipton NE NERFINISHED

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: Analeigh Tipton | Statement: [Mississippi Grind, starring, Analeigh Tipton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Analeigh Tipton
Context triple: [Mississippi Grind, starring, Analeigh Tipton]
  • A. Analeigh Tipton chosen
    Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
  • B. Tiffany Boone
    Tiffany Boone is an American actress known for her roles in film and television, including prominent performances in series like "Hunters," "The Chi," and "Nine Perfect Strangers."
  • C. Heaven Hart
    Heaven Hart is the daughter of American comedian and actor Kevin Hart.
  • D. Billie Worley
    Billie Worley is an American actor best known for his role on the fantasy-drama television series "Early Edition."
  • E. Hayley Schore
    Hayley Schore is a television writer and producer best known for co-creating the medical drama series "The Resident."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f826788190b11008cc94b2a4e4 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.