Triple
T1127451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Gartner |
E24751
|
entity |
| Predicate | goalsScoredInNHL |
P2215
|
FINISHED |
| Object | 708 |
—
|
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: 708 | Statement: [Mike Gartner, goalsScoredInNHL, 708]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredInNHL Context triple: [Mike Gartner, goalsScoredInNHL, 708]
-
A.
goalsInNHLRegularSeason
chosen
Indicates the number of goals a player has scored during NHL regular season games.
-
B.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
C.
pointsInNHLRegularSeason
Indicates the total number of points a player has recorded during NHL regular season games.
-
D.
holdsNHLRecordFor
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
-
E.
gamesPlayedInNHL
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.