Triple
T3014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Hoover |
E56
|
entity |
| Predicate | orderInOffice |
P351
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [Herbert Hoover, orderInOffice, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInOffice Context triple: [Herbert Hoover, orderInOffice, 31]
-
A.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
B.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
C.
orderInUnion
Indicates the relative position or sequence of an entity within a union or ordered collection of entities.
-
D.
presidentialOrder
Indicates that an action, decision, or directive is formally issued by a president under their official authority.
-
E.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
- 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_69a2328f0e848190ac2840eaf2d5ebd2 |
completed | Feb. 28, 2026, 12:10 a.m. |
| NER | Named-entity recognition | batch_69a2346846608190b6b40d31f1dbd685 |
completed | Feb. 28, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69a233c396ec8190986608d07fb251d4 |
completed | Feb. 28, 2026, 12:16 a.m. |
| PDg | Predicate description generation | batch_69a2346794cc8190afce97b703903389 |
completed | Feb. 28, 2026, 12:18 a.m. |
Created at: Feb. 28, 2026, 12:13 a.m.