Triple

T5093349
Position Surface form Disambiguated ID Type / Status
Subject Strahan, Sara and Keke E114806 entity
Predicate coHost P5275 FINISHED
Object Keke Palmer E242708 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: Keke Palmer | Statement: [Strahan, Sara and Keke, coHost, Keke Palmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keke Palmer
Context triple: [Strahan, Sara and Keke, coHost, Keke Palmer]
  • A. Keke Palmer chosen
    Keke Palmer is an American actress, singer, and television personality known for her versatile roles in film and TV, including her acclaimed performance in Jordan Peele's horror film "Nope."
  • B. Bailee Madison
    Bailee Madison is an American actress known for her work as a child and teen performer in films and television series such as "Bridge to Terabithia," "Don't Be Afraid of the Dark," and "Good Witch."
  • C. Riley Grazer
    Riley Grazer is a child of acclaimed American film and television producer Brian Grazer.
  • D. Lana Condor
    Lana Condor is a Vietnamese-American actress best known for starring as Lara Jean Covey in the Netflix film series "To All the Boys I've Loved Before."
  • E. Mckenna Grace
    Mckenna Grace is an American actress known for her roles in films and television series such as "Gifted," "The Haunting of Hill House," and "Ghostbusters: Afterlife."
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba76ef188190ab31623d1a44ebb9 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.