Triple
T29444846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Star Wars to Jedi: The Making of a Saga |
E746818
|
entity |
| Predicate | hasFootageFrom |
P124048
|
FINISHED |
| Object | Star Wars |
—
|
NE NERFINISHED |
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: Star Wars | Statement: [From Star Wars to Jedi: The Making of a Saga, hasFootageFrom, Star Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFootageFrom Context triple: [From Star Wars to Jedi: The Making of a Saga, hasFootageFrom, Star Wars]
-
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.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
C.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
-
D.
usesArchivalFootageFrom
Indicates that one entity incorporates or includes archival footage originating from another entity.
-
E.
usesUnusedFootageOf
Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 3:26 p.m.