Triple

T23540279
Position Surface form Disambiguated ID Type / Status
Subject Peter Heller E577722 entity
Predicate alsoKnownAs P39 FINISHED
Object Pete Heller
Pete Heller is a British DJ, producer, and remixer best known for his influential work in house music since the 1990s.
 E1591715 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: Pete Heller | Statement: [Peter Heller, alsoKnownAs, Pete Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pete Heller
Context triple: [Peter Heller, alsoKnownAs, Pete Heller]
  • A. Ben Heller
    Ben Heller is an actor best known for playing young Stanley Uris in the 1990 television miniseries adaptation of Stephen King’s "It."
  • B. Pete Seltzer
    Pete Seltzer is the central male protagonist in the 1972 romantic dramedy film "Pete 'n' Tillie," whose relationship with Tillie Shlai drives the story’s emotional arc.
  • C. Don Peters
    Don Peters was a screenwriter best known for co-writing the 1965 survival film "The Naked Prey."
  • D. Don Peters
    Don Peters is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women worldwide fall into a mysterious sleep.
  • E. Wayne Heller
    Wayne Heller is an aviation executive best known as the founder of the regional carrier Chautauqua Airlines.
  • 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: Pete Heller
Triple: [Peter Heller, alsoKnownAs, Pete Heller]
Generated description
Pete Heller is a British DJ, producer, and remixer best known for his influential work in house music since the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pete Heller
Target entity description: Pete Heller is a British DJ, producer, and remixer best known for his influential work in house music since the 1990s.
  • A. Ben Heller
    Ben Heller is an actor best known for playing young Stanley Uris in the 1990 television miniseries adaptation of Stephen King’s "It."
  • B. Pete Seltzer
    Pete Seltzer is the central male protagonist in the 1972 romantic dramedy film "Pete 'n' Tillie," whose relationship with Tillie Shlai drives the story’s emotional arc.
  • C. Don Peters
    Don Peters was a screenwriter best known for co-writing the 1965 survival film "The Naked Prey."
  • D. Don Peters
    Don Peters is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women worldwide fall into a mysterious sleep.
  • E. Wayne Heller
    Wayne Heller is an aviation executive best known as the founder of the regional carrier Chautauqua Airlines.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1a66b88190811b38523ea606fe completed April 29, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf5bab58819082d5de1c9b47c0c8 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce210d8108190a6338389fcefb5a4 completed May 19, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce2bffdd8819081ef20b90bc0ae7b completed May 19, 2026, 10:22 p.m.
Created at: April 17, 2026, 6:10 p.m.