Triple
T38211890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Nutt |
E1010569
|
entity |
| Predicate | reasonForEndOfTenure |
P6707
|
FINISHED |
| Object | health issues related to brain stem condition |
—
|
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: health issues related to brain stem condition | Statement: [Danny Nutt, reasonForEndOfTenure, health issues related to brain stem condition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForEndOfTenure Context triple: [Danny Nutt, reasonForEndOfTenure, health issues related to brain stem condition]
-
A.
reasonForEndOfTerm
chosen
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
B.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
C.
reasonForLeaving
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
D.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
E.
termLimitReasonForLeavingOffice
Indicates that an officeholder left their position specifically because they reached a legally or formally imposed term limit.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:30 p.m.