Triple
T25148717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book Two: Work 2007–2017 |
E630010
|
entity |
| Predicate | workPeriodDocumented |
P137798
|
FINISHED |
| Object | 2007–2017 |
—
|
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: 2007–2017 | Statement: [Book Two: Work 2007–2017, workPeriodDocumented, 2007–2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPeriodDocumented Context triple: [Book Two: Work 2007–2017, workPeriodDocumented, 2007–2017]
-
A.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
B.
timePeriodOfWorks
chosen
Indicates the span of time during which the associated works were created, produced, or active.
-
C.
containsWorkFromPeriod
Indicates that something includes or features work that originates from a specified historical or temporal period.
-
D.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
E.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
- 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_69f4684f11708190aa73600e3367475b |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:30 a.m.