Triple

T6399895
Position Surface form Disambiguated ID Type / Status
Subject Himesh Patel E144034 entity
Predicate notableWork P4 FINISHED
Object The Aeronauts E450937 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: The Aeronauts | Statement: [Himesh Patel, notableWork, The Aeronauts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Aeronauts
Context triple: [Himesh Patel, notableWork, The Aeronauts]
  • A. The Aeronauts chosen
    The Aeronauts is a 2019 historical adventure film that dramatizes a perilous 19th-century hot-air balloon expedition, starring Eddie Redmayne and Felicity Jones.
  • B. Sully
    Sully is the given name of François Sully Prudhomme, a French individual identifiable by this personal name.
  • C. Sully
    "Sully" is a biographical drama film starring Tom Hanks as pilot Chesley "Sully" Sullenberger, depicting the emergency landing of US Airways Flight 1549 on the Hudson River.
  • D. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • E. Passengers
    Passengers is a 2016 science fiction romance film starring Jennifer Lawrence and Chris Pratt as space travelers who awaken prematurely from hibernation on an interstellar voyage.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068994354819086cd51b661137f5a completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6389fe9608190adc68f3ad5b0471a completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.