Triple
T14925119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hay |
E371612
|
entity |
| Predicate | term start for U.S. House service |
P94662
|
FINISHED |
| Object | 1897 |
—
|
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: 1897 | Statement: [James Hay, term start for U.S. House service, 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: term start for U.S. House service Context triple: [James Hay, term start for U.S. House service, 1897]
-
A.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
B.
parliamentaryTermStarted
chosen
Indicates that a specific parliamentary term has begun for a legislative body or member.
-
C.
endTime (first House term)
Indicates the time at which the first House term concludes.
-
D.
parliamentaryTerm
Indicates the specific legislative session or fixed period of time during which a parliament is formally in office and exercises its authority.
-
E.
numberOfTermInOffice
Indicates the specific ordinal count of how many terms an entity has served in 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded633da0c8190b39f606212e48e71 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:35 a.m.