Triple

T10355022
Position Surface form Disambiguated ID Type / Status
Subject Missing E243978 entity
Predicate basedOnAuthor P2806 FINISHED
Object Thomas Hauser
Thomas Hauser is an American author and journalist best known for his acclaimed biographies and writings on boxing, particularly about Muhammad Ali.
E870747 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: Thomas Hauser | Statement: [Missing, basedOnAuthor, Thomas Hauser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Hauser
Context triple: [Missing, basedOnAuthor, Thomas Hauser]
  • A. Michael Peyser
    Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
  • B. John Schehr
    John Schehr was a German communist politician and anti-fascist resistance figure who briefly led the Communist Party of Germany before being killed by the Nazis in 1934.
  • C. Thomas Westphal
    Thomas Westphal is a German politician who serves as the mayor of the city of Dortmund.
  • D. Jeremy Furstenfeld
    Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
  • E. Newton Geiszler
    Newton Geiszler is an eccentric and brilliant kaiju-obsessed scientist from the Pacific Rim franchise who works to understand and combat the monstrous creatures threatening humanity.
  • 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: Thomas Hauser
Triple: [Missing, basedOnAuthor, Thomas Hauser]
Generated description
Thomas Hauser is an American author and journalist best known for his acclaimed biographies and writings on boxing, particularly about Muhammad Ali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Hauser
Target entity description: Thomas Hauser is an American author and journalist best known for his acclaimed biographies and writings on boxing, particularly about Muhammad Ali.
  • A. Michael Peyser
    Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
  • B. John Schehr
    John Schehr was a German communist politician and anti-fascist resistance figure who briefly led the Communist Party of Germany before being killed by the Nazis in 1934.
  • C. Thomas Westphal
    Thomas Westphal is a German politician who serves as the mayor of the city of Dortmund.
  • D. Jeremy Furstenfeld
    Jeremy Furstenfeld is the drummer of the American alternative rock band Blue October.
  • E. Newton Geiszler
    Newton Geiszler is an eccentric and brilliant kaiju-obsessed scientist from the Pacific Rim franchise who works to understand and combat the monstrous creatures threatening humanity.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9337978e8819087d0566df9e5aabd completed April 10, 2026, 5:29 p.m.
NEDg Description generation batch_69d93802a4488190aa86ae209650d4e7 completed April 10, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69d938fcc3c48190a4acaaf75c1aa304 completed April 10, 2026, 5:53 p.m.
Created at: April 6, 2026, 11:58 a.m.