Triple
T31875724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Owen |
E813734
|
entity |
| Predicate | termAsSheriffStart |
P172680
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [Mickey Owen, termAsSheriffStart, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsSheriffStart Context triple: [Mickey Owen, termAsSheriffStart, 1957]
-
A.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
B.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
termStartAsTreasurer
Indicates the point in time when an individual begins serving in the role of treasurer.
-
D.
termStartAsStateRepresentative
Indicates the date or event when an individual begins serving in office as a state representative.
-
E.
mayoralTermStart
Indicates the date or point in time when an individual's tenure as mayor officially begins.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0a50fcc8190b0b5ffc5f81daba9 |
completed | May 3, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:55 p.m.