Triple
T691050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Messier |
E13391
|
entity |
| Predicate | NHLAllStarAppearances |
P16998
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Mark Messier, NHLAllStarAppearances, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NHLAllStarAppearances Context triple: [Mark Messier, NHLAllStarAppearances, 15]
-
A.
cityHostFirstNHLAllStarGame
Indicates that a city is the location where the NHL All-Star Game was held for the very first time.
-
B.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
C.
stanleyCupFinalsAppearance
Indicates that an entity (typically a hockey team) has participated in the Stanley Cup Finals in a given season or year.
-
D.
nhlDebutSeason
Indicates the season in which a person first played in a National Hockey League (NHL) game.
-
E.
gamesPlayedInNHL
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.