Triple
T10056883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Union Purple Raiders football |
E208885
|
entity |
| Predicate | LarryKehresTenureEnd |
P4346
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Mount Union Purple Raiders football, LarryKehresTenureEnd, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LarryKehresTenureEnd Context triple: [Mount Union Purple Raiders football, LarryKehresTenureEnd, 2012]
-
A.
lastOfficeholderEndDate
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
-
B.
thirdOfficeHolderEndDate
Indicates the date on which the third person to hold a particular office or position ended their term.
-
C.
MuffetMcGrawTenureEnd
Indicates the date or point in time when Muffet McGraw’s tenure in a particular role or position came to an end.
-
D.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
E.
secondOfficeHolderEndDate
Indicates the date on which the second person holding a particular office or position ended their term.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfae503881909b9f016da4e2207d |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:57 p.m.