Triple
T3046588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cam Neely |
E83463
|
entity |
| Predicate | goalsInSingleSeasonOver50 |
P31006
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cam Neely, goalsInSingleSeasonOver50, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsInSingleSeasonOver50 Context triple: [Cam Neely, goalsInSingleSeasonOver50, true]
-
A.
consecutive50GoalSeasons
Indicates that an entity has achieved 50 or more goals in each of multiple consecutive seasons.
-
B.
NHL50GoalSeasons
chosen
Indicates that a player has achieved one or more NHL seasons in which they scored at least 50 goals.
-
C.
winsInSingleSeason
Indicates that one entity achieves a specified number of wins within a single competitive season.
-
D.
teamWithMostAppearances
Indicates the team that has participated the greatest number of times in a given context or competition.
-
E.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bab541c8190a17aca26b3dcfae7 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.