Triple
T24577383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986–87 NHL season |
E608150
|
entity |
| Predicate | gretzkyPointsTotal |
P156405
|
FINISHED |
| Object | 183 |
—
|
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: 183 | Statement: [1986–87 NHL season, gretzkyPointsTotal, 183]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gretzkyPointsTotal Context triple: [1986–87 NHL season, gretzkyPointsTotal, 183]
-
A.
PresidentsTrophyPoints
Indicates the number of points a team has earned in the standings toward winning the Presidents’ Trophy.
-
B.
StanleyCupWinningGoalScorer
Indicates the player who scored the decisive, championship-clinching goal in a given Stanley Cup Final series.
-
C.
NHLRookieSeasonPoints
Indicates the total number of points a player scored during their rookie season in the NHL.
-
D.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
E.
StanleyCupWinsAsPlayer
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97be2ac8190aecf5e54a37e266a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.