Triple
T1440958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego State Aztecs men's basketball |
E31068
|
entity |
| Predicate | programRiseEra |
P29349
|
FINISHED |
| Object | 2000s under Steve Fisher |
—
|
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: 2000s under Steve Fisher | Statement: [San Diego State Aztecs men's basketball, programRiseEra, 2000s under Steve Fisher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programRiseEra Context triple: [San Diego State Aztecs men's basketball, programRiseEra, 2000s under Steve Fisher]
-
A.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
B.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
C.
developmentProgramName
Indicates the specific name assigned to a development program associated with an entity or activity.
-
D.
programOn
Indicates that a program is scheduled to be broadcast or presented on a particular channel, station, platform, or device.
-
E.
originProgram
Indicates the program, initiative, or source project from which an entity, item, or record originally comes.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.