Triple

T16847557
Position Surface form Disambiguated ID Type / Status
Subject Bone Tomahawk E409582 entity
Predicate cinematographyBy P1953 FINISHED
Object Benji Bakshi
Benji Bakshi is a cinematographer known for his work on genre films, including the horror Western "Bone Tomahawk."
E1236152 NE FINISHED

How this triple was built (4 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: Benji Bakshi | Statement: [Bone Tomahawk, cinematographyBy, Benji Bakshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benji Bakshi
Context triple: [Bone Tomahawk, cinematographyBy, Benji Bakshi]
  • A. Brad Bakshi
    Brad Bakshi is a cunning, profit-obsessed head of monetization in the comedy series "Mythic Quest," known for his manipulative schemes and darkly comedic personality.
  • B. Max Parker
    Max Parker is a British IT consultant and the husband of Isabella Jane Cruise, the adopted daughter of actors Tom Cruise and Nicole Kidman.
  • C. Miles Bakshi
    Miles Bakshi is an American voice actor best known for voicing the character Tim Templeton in the animated film "The Boss Baby."
  • D. R. Balki
    R. Balki is an Indian filmmaker and screenwriter best known for directing acclaimed Hindi films such as "Cheeni Kum," "Paa," and "Pad Man."
  • E. Barron Gaghan
    Barron Gaghan is the child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Benji Bakshi
Triple: [Bone Tomahawk, cinematographyBy, Benji Bakshi]
Generated description
Benji Bakshi is a cinematographer known for his work on genre films, including the horror Western "Bone Tomahawk."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benji Bakshi
Target entity description: Benji Bakshi is a cinematographer known for his work on genre films, including the horror Western "Bone Tomahawk."
  • A. Brad Bakshi
    Brad Bakshi is a cunning, profit-obsessed head of monetization in the comedy series "Mythic Quest," known for his manipulative schemes and darkly comedic personality.
  • B. Max Parker
    Max Parker is a British IT consultant and the husband of Isabella Jane Cruise, the adopted daughter of actors Tom Cruise and Nicole Kidman.
  • C. Miles Bakshi
    Miles Bakshi is an American voice actor best known for voicing the character Tim Templeton in the animated film "The Boss Baby."
  • D. R. Balki
    R. Balki is an Indian filmmaker and screenwriter best known for directing acclaimed Hindi films such as "Cheeni Kum," "Paa," and "Pad Man."
  • E. Barron Gaghan
    Barron Gaghan is the child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
  • F. None of above. chosen

Provenance (5 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbb628208190b0be62a333e7e442 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.