Triple
T33285303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Godfather: A Novel for Television |
E852164
|
entity |
| Predicate | includesAdditionalFootage |
P124048
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Godfather: A Novel for Television, includesAdditionalFootage, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAdditionalFootage Context triple: [The Godfather: A Novel for Television, includesAdditionalFootage, yes]
-
A.
includesNewFootageWith
chosen
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
B.
usesUnusedFootageOf
Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
-
C.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
D.
usesArchivalFootageFrom
Indicates that one entity incorporates or includes archival footage originating from another entity.
-
E.
containsAdditionalTracksBeyond
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0303622ce08190b359c9d247268729 |
completed | May 12, 2026, 10:39 a.m. |
| PD | Predicate disambiguation | batch_6a03030c02fc81908e546dba291b1240 |
completed | May 12, 2026, 10:38 a.m. |
Created at: May 1, 2026, 1:32 a.m.