Triple

T15625232
Position Surface form Disambiguated ID Type / Status
Subject Lightyear E375660 entity
Predicate voiceCastMember P9616 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: [Lightyear, voiceCastMember, Keke Palmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keke Palmer
Context triple: [Lightyear, voiceCastMember, 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. Kelsey Dohring
    Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
  • C. Dakota O'Donnell
    Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
  • D. Emmy Raver-Lampman
    Emmy Raver-Lampman is an American actress and singer best known for her breakout role as Allison Hargreeves in the Netflix superhero series "The Umbrella Academy" and her work in major stage musicals like "Hamilton."
  • E. 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."
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875e49748190a2a4aceb649762b4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:14 a.m.