Triple
T30776629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jess and Jason |
E783690
|
entity |
| Predicate | filmPortrayalIncludesCharacter |
P80218
|
FINISHED |
| Object | Megan Hipwell |
—
|
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: Megan Hipwell | Statement: [Jess and Jason, filmPortrayalIncludesCharacter, Megan Hipwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmPortrayalIncludesCharacter Context triple: [Jess and Jason, filmPortrayalIncludesCharacter, Megan Hipwell]
-
A.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
B.
characterInFilmReleasedIn
Indicates that a character appears in a film that was released in a specified year or time period.
-
C.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
D.
portraysCharacterInGenre
chosen
Indicates that an entity depicts or plays a character within works belonging to a specified genre.
-
E.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe1c4d881908f331699d11a3c3f |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.