Triple

T14876872
Position Surface form Disambiguated ID Type / Status
Subject Extremis E349889 entity
Predicate featuresCharacter P626 FINISHED
Object Maya Hansen E353856 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: Maya Hansen | Statement: [Extremis, featuresCharacter, Maya Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maya Hansen
Context triple: [Extremis, featuresCharacter, Maya Hansen]
  • A. Maya Hansen chosen
    Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
  • B. Maya Imhoof
    Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
  • C. Kelly Hansen
    Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
  • D. Maya Pfaff
    Maya Pfaff is a member of the extended Bose–Pfaff family, descended from Indian nationalist leader Subhas Chandra Bose through his daughter Anita Bose Pfaff.
  • E. Molly Jensen
    Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfd1a1b48190b3b69b2841f643a3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:55 a.m.