Triple

T20007234
Position Surface form Disambiguated ID Type / Status
Subject El Hormiguero E494489 entity
Predicate notableGuest P10756 FINISHED
Object Hugh Jackman 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: Hugh Jackman | Statement: [El Hormiguero, notableGuest, Hugh Jackman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Jackman
Context triple: [El Hormiguero, notableGuest, Hugh Jackman]
  • A. Hugh Jackman chosen
    Hugh Jackman is an Australian actor, singer, and producer best known for his versatile roles in film and theater, including his long-running portrayal of Wolverine in the X-Men franchise.
  • B. Michael Meaney
    Michael Meaney is a Canadian neuroscientist renowned for his pioneering research on how early-life experiences and maternal care influence gene expression and brain development through epigenetic mechanisms.
  • C. Gerard Butler
    Gerard Butler is a Scottish actor and film producer best known for his leading roles in action and drama films such as "300," "Olympus Has Fallen," and "The Phantom of the Opera."
  • D. Viggo Verwest
    Viggo Verwest is the son of Dutch DJ and record producer Tiësto (Tijs Michiel Verwest).
  • E. Angus Macfadyen
    Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a648a88190853ee741edcf6ca2 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.