Triple
T25763196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forty-Two Years in the White House |
E648801
|
entity |
| Predicate | workPeriodOfAuthorDescribed |
P161663
|
FINISHED |
| Object | 42 years |
—
|
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: 42 years | Statement: [Forty-Two Years in the White House, workPeriodOfAuthorDescribed, 42 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPeriodOfAuthorDescribed Context triple: [Forty-Two Years in the White House, workPeriodOfAuthorDescribed, 42 years]
-
A.
workInChronologyOfAuthor
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
B.
yearWorkWritten
Indicates the year in which a particular work was written or created.
-
C.
timePeriodOfWorks
Indicates the span of time during which the associated works were created, produced, or active.
-
D.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
E.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 22, 2026, 5:07 a.m.