Triple
T6983883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best of the Booker |
E161912
|
entity |
| Predicate | timeframeConsidered |
P58040
|
FINISHED |
| Object | 1969–2007 Booker Prize winners |
—
|
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: 1969–2007 Booker Prize winners | Statement: [Best of the Booker, timeframeConsidered, 1969–2007 Booker Prize winners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeConsidered Context triple: [Best of the Booker, timeframeConsidered, 1969–2007 Booker Prize winners]
-
A.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
B.
timeframeRelative
Indicates a temporal relationship where one event, state, or condition is positioned in time relative to another (e.g., before, after, or overlapping).
-
C.
timePeriodAnalyzed
chosen
Indicates that a specified time period is the focus or scope of an analysis or evaluation.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timePeriodImplied
Indicates that a time period is inferred or implied by context rather than being explicitly specified.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.