Triple
T25255825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifetime Achievement Award |
E633169
|
entity |
| Predicate | timeFrameConsidered |
P125927
|
FINISHED |
| Object | multi-decade career |
—
|
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: multi-decade career | Statement: [Lifetime Achievement Award, timeFrameConsidered, multi-decade career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFrameConsidered Context triple: [Lifetime Achievement Award, timeFrameConsidered, multi-decade career]
-
A.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
B.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
D.
timePeriodAnalyzed
Indicates that a specified time period is the focus or scope of an analysis or evaluation.
-
E.
timeframeApproximate
chosen
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4838d5a7881908b8bfd03cf6f51b6 |
completed | May 1, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:13 p.m.