Triple
T10586074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Mondou |
E249856
|
entity |
| Predicate | goalsInSingleNHLSeason |
P2215
|
FINISHED |
| Object | 34 |
—
|
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: 34 | Statement: [Pierre Mondou, goalsInSingleNHLSeason, 34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsInSingleNHLSeason Context triple: [Pierre Mondou, goalsInSingleNHLSeason, 34]
-
A.
goalsInNHLRegularSeason
chosen
Indicates the number of goals a player has scored during NHL regular season games.
-
B.
holdsNHLRecordFor
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
-
C.
NHL50GoalSeasons
Indicates that a player has achieved one or more NHL seasons in which they scored at least 50 goals.
-
D.
NHLTeamMostNotable
Indicates that a given NHL team is considered the most notable or prominent one in a specified context or comparison set.
-
E.
NHL60GoalSeasons
Indicates that a player has recorded at least one season in the NHL in which they scored 60 or more goals.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527698be48190a2f5e573d7cc0661 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.