Triple
T31712387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Wolf |
E809360
|
entity |
| Predicate | adaptsIntoFilm |
P49788
|
FINISHED |
| Object | Big Fat Liar (in-universe movie) |
—
|
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: Big Fat Liar (in-universe movie) | Statement: [Marty Wolf, adaptsIntoFilm, Big Fat Liar (in-universe movie)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptsIntoFilm Context triple: [Marty Wolf, adaptsIntoFilm, Big Fat Liar (in-universe movie)]
-
A.
coAdaptedToFilm
Indicates that a work was adapted into a film in collaboration or joint effort with others.
-
B.
adaptedIntoFilmStarring
Indicates that a work has been adapted into a film in which a specified actor or set of actors star.
-
C.
adaptedForFilmBy
chosen
Indicates that a work has been turned into a film by a particular person or entity responsible for the adaptation.
-
D.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
E.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 30, 2026, 11:16 p.m.