Triple
T13102609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamloops Chiefs |
E310754
|
entity |
| Predicate | Barry MelroseRole |
P108070
|
FINISHED |
| Object | defenceman |
—
|
LITERAL 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: defenceman | Statement: [Kamloops Chiefs, Barry MelroseRole, defenceman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Barry MelroseRole Context triple: [Kamloops Chiefs, Barry MelroseRole, defenceman]
-
A.
RobMorrowRole
Indicates that a person has played a specific role in a work featuring Rob Morrow.
-
B.
Brian NiccolRole
Indicates that a specified role or position is held by, associated with, or pertains to Brian Niccol.
-
C.
Michael B. OlbrichRole
Indicates the specific role, position, or function that Michael B. Olbrich holds or performs in relation to another entity or context.
-
D.
Garnet BaileyRole
Indicates that Garnet Bailey has or held a specific role, position, or function in relation to another entity.
-
E.
roleOfBarrettMartin
Indicates that Barrett Martin holds or performs a particular role, function, or position in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:04 p.m.