Triple
T29616484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chosen One prophecy |
E754876
|
entity |
| Predicate | firstFilmMention |
P48093
|
FINISHED |
| Object | Star Wars: The Phantom Menace |
—
|
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: The Phantom Menace | Statement: [Chosen One prophecy, firstFilmMention, Star Wars: The Phantom Menace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFilmMention Context triple: [Chosen One prophecy, firstFilmMention, Star Wars: The Phantom Menace]
-
A.
firstAppearanceFilm
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
B.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
C.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
D.
firstExplicitlyMentionedBy
Indicates that one entity is the earliest known source to explicitly mention or refer to another entity.
-
E.
firstMentionedInSeries
chosen
Indicates the work, episode, or installment in a series where a given entity is introduced or appears for the first time.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a011e5a419081908d06a07b395ebd97 |
completed | May 11, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_6a011de119048190b27d361cffabc228 |
completed | May 11, 2026, 12:08 a.m. |
Created at: April 28, 2026, 6:31 p.m.