Triple
T6275506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Brunette |
E140646
|
entity |
| Predicate | teamEliminated |
P69105
|
FINISHED |
| Object | Colorado Avalanche in 2003 playoffs |
—
|
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: Colorado Avalanche in 2003 playoffs | Statement: [Andrew Brunette, teamEliminated, Colorado Avalanche in 2003 playoffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamEliminated Context triple: [Andrew Brunette, teamEliminated, Colorado Avalanche in 2003 playoffs]
-
A.
losingLeagueTeam
Indicates that a team is the one that lost in a particular league game or competition.
-
B.
disqualifiedTeam
Indicates that a team has been removed from eligibility or participation in a competition, event, or ranking due to failing to meet required rules or criteria.
-
C.
leagueDisbanded
Indicates that a sports league or competitive organization has formally ceased operations and no longer exists as an active entity.
-
D.
losingTeamLeague
Indicates that a team is the losing side in a game or match within a particular league.
-
E.
losingManagerTeam
Indicates that a given team is the one that lost in a particular match or competition.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c170bc8190933e2fd5c9fef783 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:25 p.m.