Triple
T7904702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Rabbit |
E183542
|
entity |
| Predicate | firstFilmAppearanceDate |
P65899
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Jessica Rabbit, firstFilmAppearanceDate, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFilmAppearanceDate Context triple: [Jessica Rabbit, firstFilmAppearanceDate, 1988]
-
A.
firstTheatricalAppearance
Indicates the event or work in which an entity made its debut theatrical appearance.
-
B.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
C.
firstPopularAppearance
Indicates the earliest notable or widely recognized appearance of an entity in a public or popular context.
-
D.
firstAlbumAppearance
Indicates the relationship where an entity makes its debut or earliest known appearance on a particular album.
-
E.
firstFeatureFilmRelease
chosen
Indicates the date or event of an entity’s debut feature-length film being publicly released.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.