Triple
T1692664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Esposito |
E36583
|
entity |
| Predicate | numberOfNHLWins |
P31389
|
FINISHED |
| Object | 423 |
—
|
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: 423 | Statement: [Tony Esposito, numberOfNHLWins, 423]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNHLWins Context triple: [Tony Esposito, numberOfNHLWins, 423]
-
A.
mostStanleyCupsInNHL
Indicates having won the greatest number of Stanley Cup championships in the history of the NHL compared to all other entities.
-
B.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
C.
StanleyCupWinsAsPlayer
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
-
D.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
E.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf33347e48190a32b6d0099e3d389 |
completed | March 6, 2026, 3:30 p.m. |
Created at: March 4, 2026, 7:29 p.m.