Triple
T4924703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Hockey |
E110548
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Colleen Howe |
E279259
|
NE FINISHED |
How this triple was built (2 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: Colleen Howe | Statement: [Mr. Hockey, spouse, Colleen Howe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colleen Howe Context triple: [Mr. Hockey, spouse, Colleen Howe]
-
A.
Colleen Howe
chosen
Colleen Howe was an American sports agent and business manager best known for managing and promoting the career and legacy of her husband, hockey legend Gordie Howe.
-
B.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
C.
Colleen Bell
Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
-
D.
Colleen Dewhurst
Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffeb86c8190a2fabe1ae1d54118 |
completed | March 20, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11c83f8bc8190bdf139c9da2dd66b |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 20, 2026, 1:30 p.m.