Triple
T27902827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William W. Belknap |
E705681
|
entity |
| Predicate | officeStartFor:United States Secretary of War |
P88541
|
FINISHED |
| Object | 1869-10-25 |
—
|
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: 1869-10-25 | Statement: [William W. Belknap, officeStartFor:United States Secretary of War, 1869-10-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartFor:United States Secretary of War Context triple: [William W. Belknap, officeStartFor:United States Secretary of War, 1869-10-25]
-
A.
endTimeOfPosition United States Secretary of War
Indicates the date and time when an individual's tenure in the position of United States Secretary of War concludes.
-
B.
startTime (U.S. Secretary of War)
Indicates the point in time at which a person begins serving as U.S. Secretary of War.
-
C.
termStartAsSecretaryOfWar
chosen
Indicates the date or point in time when an individual begins serving in the role of Secretary of War.
-
D.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
-
E.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 27, 2026, 6:43 p.m.