Triple
T6317223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Knight |
E141645
|
entity |
| Predicate | endTimeOfTenureAtTexasTech |
P4346
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Bob Knight, endTimeOfTenureAtTexasTech, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfTenureAtTexasTech Context triple: [Bob Knight, endTimeOfTenureAtTexasTech, 2008]
-
A.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
B.
MuffetMcGrawTenureEnd
Indicates the date or point in time when Muffet McGraw’s tenure in a particular role or position came to an end.
-
C.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
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.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.