Triple

T25604965
Position Surface form Disambiguated ID Type / Status
Subject UConn Huskies field hockey team E641884 entity
Predicate successorHeadCoach P169894 FINISHED
Object Paul Caddy
Paul Caddy is a field hockey coach best known for leading the University of Connecticut Huskies field hockey program.
 E1687182 NE FINISHED

How this triple was built (3 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: Paul Caddy | Statement: [UConn Huskies field hockey team, successorHeadCoach, Paul Caddy]
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: Paul Caddy
Triple: [UConn Huskies field hockey team, successorHeadCoach, Paul Caddy]
Generated description
Paul Caddy is a field hockey coach best known for leading the University of Connecticut Huskies field hockey program.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: successorHeadCoach
Context triple: [UConn Huskies field hockey team, successorHeadCoach, Paul Caddy]
  • A. previousHeadCoach
    Indicates that one entity formerly served as the head coach of the other entity before being replaced.
  • B. firstHeadCoach
    Indicates that the referenced person served as the inaugural head coach of the specified team or organization.
  • C. headCoachEnd
    Indicates the point in time or event at which an entity’s role or tenure as a head coach comes to an end.
  • D. successorAs49ersHeadCoach
    Indicates that one person became the next head coach of the San Francisco 49ers after another person.
  • E. returnedAsHeadCoach
    Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
  • F. None of above. chosen

Provenance (7 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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f688d015908190ad5df37030ecf332 completed May 2, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b772c92481909ec1a4202792eb35 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8265e8c8190817bca20ada4c82a completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f688034580819086a0f9100645f8ba completed May 2, 2026, 11:25 p.m.
Created at: April 21, 2026, 4:37 p.m.