Triple
T27102249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankara Stones |
E686471
|
entity |
| Predicate | filmStoryBy |
P1955
|
FINISHED |
| Object | George Lucas |
—
|
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: George Lucas | Statement: [Sankara Stones, filmStoryBy, George Lucas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmStoryBy Context triple: [Sankara Stones, filmStoryBy, George Lucas]
-
A.
narrativeFeature
Indicates that one element functions as a narrative-related characteristic, device, or structural component of another.
-
B.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
C.
storyBy
chosen
Indicates that one entity is the creator or author of the story associated with another entity.
-
D.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
-
E.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623b76bec8190ad8f66180c8ecbd4 |
completed | May 2, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:48 a.m.