Triple

T21532378
Position Surface form Disambiguated ID Type / Status
Subject Claverack College E531262 entity
Predicate educated P5 FINISHED
Object John Clancy
John Clancy was an American politician and public figure who attended Claverack College in New York.
E1489185 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: John Clancy | Statement: [Claverack College, educated, John Clancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Clancy
Context triple: [Claverack College, educated, John Clancy]
  • A. John Clancy
    John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
  • B. John Clancy
    John Clancy is a leading architect and key figure at the prominent Irish architectural firm Scott Tallon Walker Architects.
  • C. Vince Flynn
    Vince Flynn was an American author best known for his political thriller novels featuring counterterrorism operative Mitch Rapp.
  • D. Michael Clancy
    Michael Clancy is a film costume designer known for his work on the 1996 biographical drama "I Shot Andy Warhol."
  • E. Dale Brown
    Dale Brown is a former American college basketball coach best known for leading the LSU Tigers men's basketball program to national prominence from the 1970s through the 1990s.
  • 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: John Clancy
Triple: [Claverack College, educated, John Clancy]
Generated description
John Clancy was an American politician and public figure who attended Claverack College in New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Clancy
Target entity description: John Clancy was an American politician and public figure who attended Claverack College in New York.
  • A. John Clancy
    John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
  • B. John Clancy
    John Clancy is a leading architect and key figure at the prominent Irish architectural firm Scott Tallon Walker Architects.
  • C. Vince Flynn
    Vince Flynn was an American author best known for his political thriller novels featuring counterterrorism operative Mitch Rapp.
  • D. Michael Clancy
    Michael Clancy is a film costume designer known for his work on the 1996 biographical drama "I Shot Andy Warhol."
  • E. Dale Brown
    Dale Brown is a former American college basketball coach best known for leading the LSU Tigers men's basketball program to national prominence from the 1970s through the 1990s.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e83156f48190aa472ffa77a4de57 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8d6d1a88190b3f48111ed6a4043 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e94d6f2c819097df5c0a2b59e63a completed May 17, 2026, 4:14 p.m.
Created at: April 16, 2026, 6:27 p.m.