Triple
T37949152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Gagner |
E946691
|
entity |
| Predicate | hasPlayedOver |
P196889
|
FINISHED |
| Object | 1000 NHL games |
—
|
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: 1000 NHL games | Statement: [Sam Gagner, hasPlayedOver, 1000 NHL games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedOver Context triple: [Sam Gagner, hasPlayedOver, 1000 NHL games]
-
A.
hasBeenPlayedAt
Indicates that an entity (such as a song, track, or media item) has been performed or broadcast at a particular time, place, or event.
-
B.
wasPlayed
Indicates that an entity (such as a game, song, or media item) was performed, executed, or used by someone or something.
-
C.
hasBeenPlayedIn
Indicates that an entity (such as a song, video, or game) has been previously played or performed within a particular context or medium.
-
D.
hasPlayedFormat
Indicates that an entity (such as a player or performer) has participated in or engaged with a particular format or type of activity.
-
E.
playedWhile
Indicates that one activity or event occurred concurrently with another, with the second serving as the temporal context during which the first was performed.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.