Triple

T1185981
Position Surface form Disambiguated ID Type / Status
Subject Peter Thiel E25246 entity
Predicate familyName P18 FINISHED
Object Thiel
Thiel is the surname of Peter Thiel, the German-American billionaire entrepreneur, venture capitalist, and co-founder of PayPal and Palantir Technologies.
E135771 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: Thiel | Statement: [Peter Thiel, familyName, Thiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thiel
Context triple: [Peter Thiel, familyName, Thiel]
  • A. Denison
    Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. Illinois Institute of Technology
    Illinois Institute of Technology is a private research university in Chicago known for its strong engineering, architecture, and technology programs.
  • C. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • D. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • E. Rice University
    Rice University is a private research university in Houston, Texas, known for its strong programs in science and engineering, small student body, and high level of research activity.
  • 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: Thiel
Triple: [Peter Thiel, familyName, Thiel]
Generated description
Thiel is the surname of Peter Thiel, the German-American billionaire entrepreneur, venture capitalist, and co-founder of PayPal and Palantir Technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thiel
Target entity description: Thiel is the surname of Peter Thiel, the German-American billionaire entrepreneur, venture capitalist, and co-founder of PayPal and Palantir Technologies.
  • A. Denison
    Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. Illinois Institute of Technology
    Illinois Institute of Technology is a private research university in Chicago known for its strong engineering, architecture, and technology programs.
  • C. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • D. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • E. Rice University
    Rice University is a private research university in Houston, Texas, known for its strong programs in science and engineering, small student body, and high level of research activity.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd53e4b48190abb2167f8074a6bc completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f239a288190ae488d11cff8ebf2 completed March 7, 2026, 6:32 p.m.
NEDg Description generation batch_69ac6fea11408190b84d9fc54d4c4917 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac70592c5c8190a1f86378ec5f70a9 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.