Triple
T29822918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Whitaker as Captain Ed Ramey |
E757294
|
entity |
| Predicate | filmReleaseDecade |
P32635
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Forest Whitaker as Captain Ed Ramey, filmReleaseDecade, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmReleaseDecade Context triple: [Forest Whitaker as Captain Ed Ramey, filmReleaseDecade, 2000s]
-
A.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
-
B.
releasedInDecade
chosen
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
C.
airingDecadeOfWork
Indicates the decade during which a work (such as a show or series) was originally broadcast or aired.
-
D.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
E.
screenDebutDecade
Indicates the decade during which an entity first appeared on screen (e.g., in film or television).
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:30 p.m.