Triple
T25582959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thad Matta |
E641301
|
entity |
| Predicate | reasonForSteppingDown |
P15987
|
FINISHED |
| Object | health concerns |
—
|
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 concerns | Statement: [Thad Matta, reasonForSteppingDown, health concerns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSteppingDown Context triple: [Thad Matta, reasonForSteppingDown, health concerns]
-
A.
reasonForLeaving
chosen
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
B.
steppedDownFromPosition
Indicates that an entity voluntarily left, resigned from, or otherwise ceased to hold a particular role or position.
-
C.
reasonForRenunciation
Indicates the specific cause, motive, or circumstance that led an entity to renounce or give up something.
-
D.
termLimitReasonForLeavingOffice
Indicates that an officeholder left their position specifically because they reached a legally or formally imposed term limit.
-
E.
reasonForAssumingOffice
Indicates the circumstance, cause, or justification that led an entity to take up or begin holding a particular office or position.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 4:13 p.m.