Triple
T10056884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Union Purple Raiders football |
E208885
|
entity |
| Predicate | VinceKehresTenureStart |
P91870
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Mount Union Purple Raiders football, VinceKehresTenureStart, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VinceKehresTenureStart Context triple: [Mount Union Purple Raiders football, VinceKehresTenureStart, 2013]
-
A.
termStartAsVicePresident
Indicates that an entity begins its term in office holding the position of vice president.
-
B.
startTimeAsViceChancellor
Indicates the date and time at which an individual began serving in the role of Vice Chancellor.
-
C.
servedAsViceChancellorUntil
Indicates that an individual held the position of vice chancellor up to a specified end date or time period.
-
D.
Vance Law
Indicates a relationship or action involving the person named Vance Law, such as participation in an event, authorship, or association with another entity.
-
E.
CEOStartYear
Indicates the calendar year in which an individual began serving as CEO of an organization.
- 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_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. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:57 p.m.