Triple

T3286569
Position Surface form Disambiguated ID Type / Status
Subject Danny Trejo E68994 entity
Predicate notableWork P4 FINISHED
Object Heat
Heat is a 1995 American crime drama 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: [Danny Trejo, notableWork, Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heat
Context triple: [Danny Trejo, 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 Waves
    "Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
  • C. HEATCHECK
    HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
  • D. Thermal
    Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
  • E. Heat Wave
    "Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
  • 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: [Danny Trejo, notableWork, Heat]
Generated description
Heat is a 1995 American crime drama 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 drama 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 Waves
    "Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
  • C. HEATCHECK
    HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
  • D. Thermal
    Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
  • E. Heat Wave
    "Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9783918819085ea73a8ed815f65 completed March 12, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea0189948190b1dab60aecf04b73 completed March 12, 2026, 4:29 p.m.
Created at: March 8, 2026, 3:10 p.m.