Triple

T1299744
Position Surface form Disambiguated ID Type / Status
Subject William Colby E27734 entity
Predicate familyName P18 FINISHED
Object Colby
Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
E147617 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: Colby | Statement: [William Colby, familyName, Colby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colby
Context triple: [William Colby, familyName, Colby]
  • A. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Spencer
    Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • D. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • E. Brooke
    Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
  • 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: Colby
Triple: [William Colby, familyName, Colby]
Generated description
Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colby
Target entity description: Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
  • A. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Spencer
    Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • D. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • E. Brooke
    Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c11314a48190ab4efb8b1acdce50 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc631b88190853948eeb5f24527 completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad4b2234819097d94df7812d3b13 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadf94f0881908b0be66e37b8c04a completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:51 p.m.