Triple

T22150817
Position Surface form Disambiguated ID Type / Status
Subject Freddy Delbaen E547406 entity
Predicate coAuthor P398 FINISHED
Object David Heath
David Heath is a mathematician known for his contributions to probability theory and mathematical finance, including work on coherent risk measures.
 E1522146 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: David Heath | Statement: [Freddy Delbaen, coAuthor, David Heath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Heath
Context triple: [Freddy Delbaen, coAuthor, David Heath]
  • A. David Heath
    David Heath is an American mixed martial artist who competed in the UFC’s light heavyweight division during the mid-2000s.
  • B. Daniel Heath
    Daniel Heath is a songwriter and composer best known for co-writing the title track of the film "Big Eyes" with Lana Del Rey.
  • C. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • D. James Heath
    James Heath is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • E. Brian Healey
    Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • 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: David Heath
Triple: [Freddy Delbaen, coAuthor, David Heath]
Generated description
David Heath is a mathematician known for his contributions to probability theory and mathematical finance, including work on coherent risk measures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Heath
Target entity description: David Heath is a mathematician known for his contributions to probability theory and mathematical finance, including work on coherent risk measures.
  • A. David Heath
    David Heath is an American mixed martial artist who competed in the UFC’s light heavyweight division during the mid-2000s.
  • B. Daniel Heath
    Daniel Heath is a songwriter and composer best known for co-writing the title track of the film "Big Eyes" with Lana Del Rey.
  • C. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • D. James Heath
    James Heath is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • E. Brian Healey
    Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f37dac8190a7cecb12f4271515 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9704f4988190b03783c006929ad7 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.