Triple
T24848416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feldman-Meeker Productions |
E621818
|
entity |
| Predicate | associatedWorkDecade |
P131545
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Feldman-Meeker Productions, associatedWorkDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWorkDecade Context triple: [Feldman-Meeker Productions, associatedWorkDecade, 1960s]
-
A.
airingDecadeOfWork
Indicates the decade during which a work (such as a show or series) was originally broadcast or aired.
-
B.
basedOnWorkPublicationDecade
Indicates that one entity is categorized or related to another based on the decade in which a referenced work was originally published.
-
C.
associatedDecadeInPopCulture
Indicates the decade in popular culture with which an entity is most closely linked or commonly recognized.
-
D.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
E.
decadeOfWorkOrigin
chosen
Indicates the decade during which a work was originally created, produced, or first came into existence.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 18, 2026, 5:20 a.m.