Triple

T17749902
Position Surface form Disambiguated ID Type / Status
Subject Bristol Orpheus E443084 entity
Predicate usedIn P98 FINISHED
Object HAL Ajeet 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: HAL Ajeet | Statement: [Bristol Orpheus, usedIn, HAL Ajeet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HAL Ajeet
Context triple: [Bristol Orpheus, usedIn, HAL Ajeet]
  • A. HAL Ajeet chosen
    HAL Ajeet is an Indian light fighter aircraft developed by Hindustan Aeronautics Limited as an improved, license-built variant of the British Folland Gnat.
  • B. Amrish Puri
    Amrish Puri was a renowned Indian actor best known for his powerful villainous roles in Hindi cinema and for playing the iconic antagonist Mola Ram in the film "Indiana Jones and the Temple of Doom."
  • C. Ashvajit
    Ashvajit is a Buddhist figure traditionally regarded as one of the early disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
  • D. Jackie Shroff
    Jackie Shroff is a veteran Indian film actor known for his versatile performances across Hindi cinema since the 1980s.
  • E. Suresh Krissna
    Suresh Krissna is an Indian film director best known for his successful Tamil and Telugu commercial films, including major hits with superstar Rajinikanth.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.