Triple

T17281018
Position Surface form Disambiguated ID Type / Status
Subject C. Douglas Dillon Jr. E419527 entity
Predicate givenName P17 FINISHED
Object C. Douglas
C. Douglas is the commonly used given name of C. Douglas Dillon Jr., likely referring to him in a more informal or abbreviated context.
E1268109 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: C. Douglas | Statement: [C. Douglas Dillon Jr., givenName, C. Douglas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C. Douglas
Context triple: [C. Douglas Dillon Jr., givenName, C. Douglas]
  • A. Jim Douglas
    Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
  • B. Jim Douglas
    Jim Douglas is the adventurous racing driver protagonist who becomes the human partner of the sentient Volkswagen Beetle Herbie in Disney’s comedy film series.
  • C. E. Culbert
    E. Culbert is a mountaineer known for being among the first to successfully ascend Pico Cristóbal Colón, the highest peak in Colombia.
  • D. David Dodd
    David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
  • E. H. Douglas Brown
    H. Douglas Brown is an American applied linguist and educator best known for his influential work in second language acquisition and language teaching methodology.
  • 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: C. Douglas
Triple: [C. Douglas Dillon Jr., givenName, C. Douglas]
Generated description
C. Douglas is the commonly used given name of C. Douglas Dillon Jr., likely referring to him in a more informal or abbreviated context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C. Douglas
Target entity description: C. Douglas is the commonly used given name of C. Douglas Dillon Jr., likely referring to him in a more informal or abbreviated context.
  • A. Jim Douglas
    Jim Douglas is the adventurous racing driver protagonist who becomes the human partner of the sentient Volkswagen Beetle Herbie in Disney’s comedy film series.
  • B. Jim Douglas
    Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
  • C. E. Culbert
    E. Culbert is a mountaineer known for being among the first to successfully ascend Pico Cristóbal Colón, the highest peak in Colombia.
  • D. David Dodd
    David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
  • E. H. Douglas Brown
    H. Douglas Brown is an American applied linguist and educator best known for his influential work in second language acquisition and language teaching methodology.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43329904c8190a4cbc856b9b94ff8 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7e5768c8190827b5e94db480997 completed May 11, 2026, 9:56 a.m.
NEDg Description generation batch_6a01abaca87c819094bf1d3d6ef3ff97 completed May 11, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_6a01ac1406d08190a222906c4e186849 completed May 11, 2026, 10:14 a.m.
Created at: April 10, 2026, 5:40 a.m.