Triple

T17916556
Position Surface form Disambiguated ID Type / Status
Subject H. Peter Stern E447940 entity
Predicate givenName P17 FINISHED
Object H. Peter
H. Peter is the given name of H. Peter Stern, an arts patron and co-founder of the Storm King Art Center in New York.
E1296308 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: H. Peter | Statement: [H. Peter Stern, givenName, H. Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H. Peter
Context triple: [H. Peter Stern, givenName, H. Peter]
  • A. H. Peter Hofstee
    H. Peter Hofstee is a computer engineer and microprocessor architect best known for his work on advanced processor designs, including contributions at Transmeta and IBM.
  • B. Peter Honess
    Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
  • C. Keith Peters
    Keith Peters is a prominent British physician and medical researcher known for his leadership in academic medicine and contributions to immunology and medical science policy.
  • D. Stephen Peters
    Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
  • E. 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.
  • 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: H. Peter
Triple: [H. Peter Stern, givenName, H. Peter]
Generated description
H. Peter is the given name of H. Peter Stern, an arts patron and co-founder of the Storm King Art Center in New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: H. Peter
Target entity description: H. Peter is the given name of H. Peter Stern, an arts patron and co-founder of the Storm King Art Center in New York.
  • A. H. Peter Hofstee
    H. Peter Hofstee is a computer engineer and microprocessor architect best known for his work on advanced processor designs, including contributions at Transmeta and IBM.
  • B. Peter Honess
    Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
  • C. Keith Peters
    Keith Peters is a prominent British physician and medical researcher known for his leadership in academic medicine and contributions to immunology and medical science policy.
  • D. Stephen Peters
    Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
  • E. 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.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a3062bfc819083f7c0521bad4db8 completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212c9e88819099fb04040e543d63 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a0321e2ce7c81909f24975b71f73621 completed May 12, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a032255c76c81909ab534ae3e8adddc completed May 12, 2026, 12:51 p.m.
Created at: April 10, 2026, 10:20 a.m.