Triple
T34320589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Schwartzwalder |
E880723
|
entity |
| Predicate | overallRecordAsCollegeHeadCoach |
P76762
|
FINISHED |
| Object | 178–96–3 |
—
|
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: 178–96–3 | Statement: [Ben Schwartzwalder, overallRecordAsCollegeHeadCoach, 178–96–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallRecordAsCollegeHeadCoach Context triple: [Ben Schwartzwalder, overallRecordAsCollegeHeadCoach, 178–96–3]
-
A.
overallCollegeCoachingRecord
chosen
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
-
B.
overallRecordAsHeadCoach
Indicates the complete win-loss (and possibly tie) record accumulated by an individual while serving in the role of head coach.
-
C.
playedForCollegeCoach
Indicates that an athlete was coached by a specific college coach while playing for that coach’s team.
-
D.
coachingRecordCollegeWins
Indicates the number of games a coach has won at the college level in their coaching record.
-
E.
highSchoolCoachingRecord
Indicates the record of a person’s coaching performance (such as wins and losses) at the high school level.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.