Triple
T33581207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie King (Gerald Ford) |
E860151
|
entity |
| Predicate | endTimeInOfficeAsRepresentative |
P71790
|
FINISHED |
| Object | 1973-12-06 |
—
|
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: 1973-12-06 | Statement: [Leslie King (Gerald Ford), endTimeInOfficeAsRepresentative, 1973-12-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeInOfficeAsRepresentative Context triple: [Leslie King (Gerald Ford), endTimeInOfficeAsRepresentative, 1973-12-06]
-
A.
officeEndTime (U.S. Representative)
chosen
Indicates the time at which a U.S. Representative’s term in office concludes.
-
B.
officeStartTime (U.S. Representative)
Indicates the time at which a U.S. Representative officially begins their term in office.
-
C.
endTimeInOffice (second presidential term)
Indicates the date and time when an entity’s second presidential term in office concludes.
-
D.
representsInOffice
Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
-
E.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 1, 2026, 1:40 a.m.