Triple
T858222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair K |
E18540
|
entity |
| Predicate | tenure |
P16585
|
FINISHED |
| Object | for life, unless resignation or dismissal |
—
|
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: for life, unless resignation or dismissal | Statement: [Chair K, tenure, for life, unless resignation or dismissal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenure Context triple: [Chair K, tenure, for life, unless resignation or dismissal]
-
A.
lifeTenure
chosen
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
-
B.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
C.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
D.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
E.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4f740881909cb59a6c18a77af3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.