Triple
T25148687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book One: Work 1986–2006 |
E630009
|
entity |
| Predicate | timeSpanOfWorkDocumented |
P137798
|
FINISHED |
| Object | 20 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: 20 years | Statement: [Book One: Work 1986–2006, timeSpanOfWorkDocumented, 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfWorkDocumented Context triple: [Book One: Work 1986–2006, timeSpanOfWorkDocumented, 20 years]
-
A.
timePeriodOfWorks
chosen
Indicates the span of time during which the associated works were created, produced, or active.
-
B.
workLength
Indicates the duration or length of time associated with a particular work or task.
-
C.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
D.
timeSpanMentioned
Indicates that a specific duration or period of time is explicitly referenced in the context.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4684e47988190a5c0639fc7fc21e8 |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:30 a.m.