Triple

T2995223
Position Surface form Disambiguated ID Type / Status
Subject Mindhunters E81049 entity
Predicate cinematographer P1953 FINISHED
Object Robert Gantz
Robert Gantz is a film cinematographer known for his work on the thriller "Mindhunters."
 E315699 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: Robert Gantz | Statement: [Mindhunters, cinematographer, Robert Gantz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert Gantz
Context triple: [Mindhunters, cinematographer, Robert Gantz]
  • A. Buford "Mad Dog" Tannen
    Buford "Mad Dog" Tannen is the ruthless, hot-tempered outlaw and ancestor of Biff Tannen who serves as the main antagonist in the Old West setting of Back to the Future Part III.
  • B. Shizuo
    Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
  • C. Abe Sapien
    Abe Sapien is an amphibious, psychic humanoid and key member of the Bureau for Paranormal Research and Defense in the Hellboy comic and film series.
  • D. John Eden
    John Eden is a British Conservative politician who served in senior government roles, including as a cabinet minister in the mid-20th century.
  • E. B.J. Blazkowicz
    B.J. Blazkowicz is the longtime protagonist of the Wolfenstein video game series, depicted as a battle-hardened soldier fighting against Nazi and fascist regimes.
  • 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: Robert Gantz
Triple: [Mindhunters, cinematographer, Robert Gantz]
Generated description
Robert Gantz is a film cinematographer known for his work on the thriller "Mindhunters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert Gantz
Target entity description: Robert Gantz is a film cinematographer known for his work on the thriller "Mindhunters."
  • A. Buford "Mad Dog" Tannen
    Buford "Mad Dog" Tannen is the ruthless, hot-tempered outlaw and ancestor of Biff Tannen who serves as the main antagonist in the Old West setting of Back to the Future Part III.
  • B. Shizuo
    Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
  • C. Abe Sapien
    Abe Sapien is an amphibious, psychic humanoid and key member of the Bureau for Paranormal Research and Defense in the Hellboy comic and film series.
  • D. John Eden
    John Eden is a British Conservative politician who served in senior government roles, including as a cabinet minister in the mid-20th century.
  • E. B.J. Blazkowicz
    B.J. Blazkowicz is the longtime protagonist of the Wolfenstein video game series, depicted as a battle-hardened soldier fighting against Nazi and fascist regimes.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10908cfe48190bf244d5a3dbc958b completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10ab5e3488190b2d8c98dd296cbe5 completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10b1664f081909b521ee8dd5954f9 completed March 11, 2026, 6:26 a.m.
Created at: March 8, 2026, 2:59 p.m.