Triple
T4924706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Hockey |
E110548
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Murray Howe |
E276451
|
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: Murray Howe | Statement: [Mr. Hockey, child, Murray Howe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murray Howe Context triple: [Mr. Hockey, child, Murray Howe]
-
A.
Murray Howe
chosen
Murray Howe is an American physician and author best known as the son of hockey legend Gordie Howe and brother of Hall of Famer Mark Howe.
-
B.
Fred Kilgour
Fred Kilgour was an American librarian and information scientist best known for pioneering online library cataloging and founding the OCLC cooperative.
-
C.
Bruce McCulloch
Bruce McCulloch is a Canadian actor, writer, and comedian best known as one of the core members of the sketch comedy troupe The Kids in the Hall.
-
D.
Donald William Johnston
Donald William Johnston, better known as Bob Johnston, was an American record producer renowned for his work with iconic artists such as Bob Dylan, Johnny Cash, and Leonard Cohen in the 1960s and 1970s.
-
E.
Donald Meek
Donald Meek was a Scottish-born American character actor known for his distinctive, mild-mannered roles in numerous Hollywood films of the 1930s and 1940s.
- 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_69be77a6e1648190921487e3d81441b3 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.