Triple
T20887469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Adams |
E514322
|
entity |
| Predicate | coachingRecord |
P44107
|
FINISHED |
| Object | multiple Stanley Cup championships with Detroit Red Wings |
—
|
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: multiple Stanley Cup championships with Detroit Red Wings | Statement: [Jack Adams, coachingRecord, multiple Stanley Cup championships with Detroit Red Wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingRecord Context triple: [Jack Adams, coachingRecord, multiple Stanley Cup championships with Detroit Red Wings]
-
A.
coachingRecordType
Indicates the specific category or nature of a coaching record associated with an entity or event.
-
B.
coachingEra
Indicates the time period during which a particular coach is in charge of a team or individual.
-
C.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
D.
overallRecordAsHeadCoach
Indicates the complete win-loss (and possibly tie) record accumulated by an individual while serving in the role of head coach.
-
E.
headCoachRecordIncludes
chosen
Indicates that a head coach’s record encompasses or contains a specified set of results, statistics, or achievements.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05acf848190a2bbbf33377f23d3 |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.