Triple

T13310054
Position Surface form Disambiguated ID Type / Status
Subject Laurie David E317035 entity
Predicate produced P490 FINISHED
Object Too Hot Not to Handle
Too Hot Not to Handle is a documentary film about global warming and climate change, highlighting the urgent need for environmental action.
E1032324 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: Too Hot Not to Handle | Statement: [Laurie David, produced, Too Hot Not to Handle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Hot Not to Handle
Context triple: [Laurie David, produced, Too Hot Not to Handle]
  • A. Too Hot to Handle
    Too Hot to Handle is the alternate title of the 1991 romantic comedy film "The Marrying Man," starring Alec Baldwin and Kim Basinger.
  • B. Too Hot to Stop
    "Too Hot to Stop" is a 1976 funk album by The Bar-Kays that helped establish the band’s signature energetic, horn-driven sound.
  • C. Too Hot to Sleep
    Too Hot to Sleep is a late-1980s melodic rock album by Survivor that showcases a heavier sound and strong vocal performances, though it achieved only modest commercial success.
  • D. She Was Hot
    "She Was Hot" is a 1983 rock song by The Rolling Stones, released as a single from their album "Undercover."
  • E. Make It Hot
    "Make It Hot" is a song featured on LL Cool J's 1997 hip hop album *Mr. Smith*.
  • 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: Too Hot Not to Handle
Triple: [Laurie David, produced, Too Hot Not to Handle]
Generated description
Too Hot Not to Handle is a documentary film about global warming and climate change, highlighting the urgent need for environmental action.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Hot Not to Handle
Target entity description: Too Hot Not to Handle is a documentary film about global warming and climate change, highlighting the urgent need for environmental action.
  • A. Too Hot to Handle
    Too Hot to Handle is the alternate title of the 1991 romantic comedy film "The Marrying Man," starring Alec Baldwin and Kim Basinger.
  • B. Too Hot to Stop
    "Too Hot to Stop" is a 1976 funk album by The Bar-Kays that helped establish the band’s signature energetic, horn-driven sound.
  • C. Too Hot to Sleep
    Too Hot to Sleep is a late-1980s melodic rock album by Survivor that showcases a heavier sound and strong vocal performances, though it achieved only modest commercial success.
  • D. She Was Hot
    "She Was Hot" is a 1983 rock song by The Rolling Stones, released as a single from their album "Undercover."
  • E. Make It Hot
    "Make It Hot" is a song featured on LL Cool J's 1997 hip hop album *Mr. Smith*.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f7184c55108190a4d60a5bf4bd2208 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:29 p.m.