Triple

T15359719
Position Surface form Disambiguated ID Type / Status
Subject Everything in Between E367257 entity
Predicate hasPart P35 FINISHED
Object Common Heat
Common Heat is a component work or section within the larger creative project "Everything in Between."
 E1153281 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: Common Heat | Statement: [Everything in Between, hasPart, Common Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Common Heat
Context triple: [Everything in Between, hasPart, Common Heat]
  • A. Heat
    Heat is a professional Twenty20 cricket team based in Brisbane that competes in Australia's Big Bash League.
  • B. Heat
    Heat is an American professional indoor soccer team based in Harrisburg, Pennsylvania, competing in the Major Arena Soccer League.
  • 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 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.
  • E. 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.
  • 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: Common Heat
Triple: [Everything in Between, hasPart, Common Heat]
Generated description
Common Heat is a component work or section within the larger creative project "Everything in Between."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Common Heat
Target entity description: Common Heat is a component work or section within the larger creative project "Everything in Between."
  • A. Heat
    Heat is a professional Twenty20 cricket team based in Brisbane that competes in Australia's Big Bash League.
  • B. Heat
    Heat is an American professional indoor soccer team based in Harrisburg, Pennsylvania, competing in the Major Arena Soccer League.
  • 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 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.
  • E. 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.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b47f20081909ef7b077458d1510 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0dde2ec48190aac70b0513fb1847 completed May 9, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_69ff0e5eabf08190811d8a91bfe0de76 completed May 9, 2026, 10:37 a.m.
Created at: April 10, 2026, 3:18 a.m.