Triple
T20375437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donny & Marie |
E497678
|
entity |
| Predicate | runDuration |
P43134
|
FINISHED |
| Object | approximately 11 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: approximately 11 years | Statement: [Donny & Marie, runDuration, approximately 11 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runDuration Context triple: [Donny & Marie, runDuration, approximately 11 years]
-
A.
runsFor
Indicates that an entity performs a running activity on behalf of, or as a representative of, another entity (such as a team, organization, or cause).
-
B.
runtimeMinutes
Indicates the total duration of something, typically a media work or process, measured in minutes.
-
C.
runsApproximately
Indicates that an entity performs a running action in a manner that is close to, but not exactly matching, a specified time, distance, speed, or other running-related measure.
-
D.
durationTotal
chosen
Indicates the overall length of time for which an event, process, or state persists, typically aggregating all its constituent durations.
-
E.
actualDuration
Indicates the real amount of time that an event, process, or activity actually took to complete, as opposed to its planned or estimated duration.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678acae3c8190ae04323760bf5597 |
completed | April 20, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:27 a.m.