Triple
T1619948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Bossy |
E35006
|
entity |
| Predicate | playoffGamesPlayed |
P16167
|
FINISHED |
| Object | 129 |
—
|
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: 129 | Statement: [Mike Bossy, playoffGamesPlayed, 129]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playoffGamesPlayed Context triple: [Mike Bossy, playoffGamesPlayed, 129]
-
A.
postseasonGamesPlayed
chosen
Indicates the number of games an entity has participated in during postseason or playoff competition.
-
B.
playoffAppearances
Indicates the number of times an entity (such as a team or player) has qualified for and participated in postseason playoff competition.
-
C.
semifinalGamesPlayedIn
Indicates that a given semifinal game took place at or within a specified location or venue.
-
D.
playoffRound
Indicates the specific stage or round within a playoff series in which a game, matchup, or event takes place.
-
E.
numberOfPlayoffTeams
Indicates the total count of teams that qualify for or participate in the playoffs within a given league or season.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.