Triple
T26768950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Bertuzzi |
E675024
|
entity |
| Predicate | opponentDuringIncident |
P58158
|
FINISHED |
| Object | Colorado Avalanche |
—
|
NE NERFINISHED |
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: Colorado Avalanche | Statement: [Todd Bertuzzi, opponentDuringIncident, Colorado Avalanche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opponentDuringIncident Context triple: [Todd Bertuzzi, opponentDuringIncident, Colorado Avalanche]
-
A.
opponentInCase
Indicates that two parties are on opposing sides in the same legal case or proceeding.
-
B.
opponentInScenario
chosen
Indicates that one entity is an adversary or rival of another within a specific scenario, context, or situation.
-
C.
otherAdversary
Indicates that one entity is an adversary of another, distinct from any primary or previously identified adversary.
-
D.
antagonistInvolved
Indicates that an antagonist participates in, influences, or is otherwise actively involved in the referenced event or situation.
-
E.
associatedOpponent
Indicates that one entity is recognized or designated as an opponent or adversary associated with another entity in a given context.
- F. None of above.
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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 4:01 a.m.