Triple
T29499670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alderaan |
E748331
|
entity |
| Predicate | destroyedInFilm |
P134265
|
FINISHED |
| Object | Star Wars: Episode IV – A New Hope |
—
|
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: Episode IV – A New Hope | Statement: [Alderaan, destroyedInFilm, Star Wars: Episode IV – A New Hope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destroyedInFilm Context triple: [Alderaan, destroyedInFilm, Star Wars: Episode IV – A New Hope]
-
A.
destroyedInMythBy
Indicates that one entity is said, within a myth or mythological narrative, to have been destroyed by another entity.
-
B.
revivedForFilm
Indicates that something (such as a character, series, or concept) was brought back into use or existence specifically for a film adaptation or production.
-
C.
destroyedInText
chosen
Indicates that one entity is described as being destroyed within the content or narrative of a given text.
-
D.
destroyedFor
Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
-
E.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c31f41c8190a8879069b4ec48af |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 4:22 p.m.