Triple

T18114690
Position Surface form Disambiguated ID Type / Status
Subject The Holiday Calendar E433574 entity
Predicate star P23405 FINISHED
Object Ethan Peck 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: Ethan Peck | Statement: [The Holiday Calendar, star, Ethan Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethan Peck
Context triple: [The Holiday Calendar, star, Ethan Peck]
  • A. Ethan Peck chosen
    Ethan Peck is an American actor best known for portraying Spock in the television series "Star Trek: Strange New Worlds."
  • B. Ferdia Walsh-Peelo
    Ferdia Walsh-Peelo is an Irish actor and musician best known for his breakout role in the film "Sing Street" and his performance in the Academy Award–winning drama "CODA."
  • C. Madison Iseman
    Madison Iseman is an American actress known for her roles in films such as the Jumanji franchise and various television series.
  • D. Evan Alex
    Evan Alex is an American child actor best known for his role in Jordan Peele’s horror film "Us."
  • E. Jeremy Irvine
    Jeremy Irvine is an English actor best known for his breakout role in Steven Spielberg’s "War Horse" and subsequent performances in films such as "The Railway Man."
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.