Triple
T30569872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Gable |
E778094
|
entity |
| Predicate | collegeRecord |
P185320
|
FINISHED |
| Object | 117–1 |
—
|
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: 117–1 | Statement: [Dan Gable, collegeRecord, 117–1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeRecord Context triple: [Dan Gable, collegeRecord, 117–1]
-
A.
collegeGoalsRecord
Indicates that a record documents a person's goals related to their college education.
-
B.
collegeScoringRecord
Indicates that an entity holds or represents a record for scoring performance achieved during college-level competition.
-
C.
collegeChampionWith
Indicates that one entity is the champion of a college-level competition or title in association with another specified entity.
-
D.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
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. 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 29, 2026, 8:22 p.m.