Triple

T18081241
Position Surface form Disambiguated ID Type / Status
Subject Wes Studi E432693 entity
Predicate notableWork P4 FINISHED
Object Heat
Heat is a 1995 American crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic on-screen pairing of Al Pacino and Robert De Niro.
 E174842 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: Heat | Statement: [Wes Studi, notableWork, Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heat
Context triple: [Wes Studi, notableWork, Heat]
  • A. Heat
    Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
  • B. Heat
    Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
  • C. Heat
    Heat is OpenStack’s orchestration service that automates the deployment and management of cloud infrastructure using template-based definitions.
  • D. Heat
    Heat is a 1963 Soviet drama film directed by Larisa Shepitko, marking her acclaimed feature-length directorial debut.
  • E. Heat
    "Heat" is a non-fiction book by British explorer Ranulph Fiennes that recounts his extreme expeditions and experiences in some of the world's hottest and most hostile environments.
  • 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: Heat
Triple: [Wes Studi, notableWork, Heat]
Generated description
Heat is a 1995 American crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic on-screen pairing of Al Pacino and Robert De Niro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heat
Target entity description: Heat is a 1995 American crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic on-screen pairing of Al Pacino and Robert De Niro.
  • A. Heat chosen
    Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
  • B. Heat
    Heat is a 1972 American underground film directed by Paul Morrissey and produced by Andy Warhol, known for its satirical take on Hollywood and its place within the Warhol Factory film movement.
  • C. Heat
    Heat is a 1963 Soviet drama film directed by Larisa Shepitko, marking her acclaimed feature-length directorial debut.
  • D. Heat
    "Heat" is a non-fiction book by British explorer Ranulph Fiennes that recounts his extreme expeditions and experiences in some of the world's hottest and most hostile environments.
  • E. Heat
    Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
  • F. None of above.

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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d8d4ab881909b2ebe0b933e3b97 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a0360cc5d648190bd7d7d756f662046 completed May 12, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03616317548190a09b0df1c9d6d303 completed May 12, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:27 a.m.