Triple

T2461847
Position Surface form Disambiguated ID Type / Status
Subject The Mummy E54549 entity
Predicate notableActor P7010 FINISHED
Object Brendan Fraser E190601 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: Brendan Fraser | Statement: [The Mummy, notableActor, Brendan Fraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brendan Fraser
Context triple: [The Mummy, notableActor, Brendan Fraser]
  • A. Brendan Fraser chosen
    Brendan Fraser is a Canadian-American actor best known for his roles in films like "The Mummy" series, "George of the Jungle," and his Oscar-winning performance in "The Whale."
  • B. Nicolas Cage
    Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
  • C. Dirk Lohan
    Dirk Lohan is a German-American architect known for his modernist designs and for continuing the architectural legacy of his grandfather, Ludwig Mies van der Rohe.
  • D. Mel Gibson
    Mel Gibson is an American-born Australian actor and filmmaker best known for starring in the "Mad Max" and "Lethal Weapon" series and directing the Academy Award–winning film "Braveheart."
  • E. Peter Facinelli
    Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11c47408190b10c7f6a151f2db2 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179665d081909f9a761fa50c44e7 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.