Triple
T1746275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Hitchcock |
E38341
|
entity |
| Predicate | notableTeamSuccess |
P16995
|
FINISHED |
| Object | multiple 100-point regular seasons with the Dallas Stars |
—
|
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 100-point regular seasons with the Dallas Stars | Statement: [Ken Hitchcock, notableTeamSuccess, multiple 100-point regular seasons with the Dallas Stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTeamSuccess Context triple: [Ken Hitchcock, notableTeamSuccess, multiple 100-point regular seasons with the Dallas Stars]
-
A.
notableOutcome
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
B.
notableEventTeam
Indicates a team that is significantly associated with, or played a key role in, a particular notable event.
-
C.
eraOfTeamSuccess
Indicates a period during which a particular team experienced notable or sustained success.
-
D.
notableTeamSeason
Indicates that a particular sports season is especially significant or noteworthy in the history of a given team.
-
E.
notableStatistic
chosen
Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.