Triple

T14928
Position Surface form Disambiguated ID Type / Status
Subject Harold Varmus E298 entity
Predicate givenName P17 FINISHED
Object Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
 E9958 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: Harold | Statement: [Harold Varmus, givenName, Harold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harold
Context triple: [Harold Varmus, givenName, Harold]
  • A. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • B. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • E. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • 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: Harold
Triple: [Harold Varmus, givenName, Harold]
Generated description
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harold
Target entity description: Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • A. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • B. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • E. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2400257208190b3cd87ad2a06c18f completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c120b98819087a09540c2a57366 completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26cf320908190a9c8b23e9cd9b5bd completed Feb. 28, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69a26e202e9c81909e0cd66a10314a76 completed Feb. 28, 2026, 4:25 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.