Triple
T30232535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pee-wee's Big Holiday |
E768669
|
entity |
| Predicate | featuresActorAsHimself |
P123658
|
FINISHED |
| Object | Joe Manganiello |
—
|
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: Joe Manganiello | Statement: [Pee-wee's Big Holiday, featuresActorAsHimself, Joe Manganiello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActorAsHimself Context triple: [Pee-wee's Big Holiday, featuresActorAsHimself, Joe Manganiello]
-
A.
hasCastMemberPlayingThemself
chosen
Indicates that a work includes a cast member who appears on screen portraying themself rather than a fictional character.
-
B.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
C.
featuresRealPersonAsHimself
Indicates that a real person appears in the work portraying themself rather than a fictional character.
-
D.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
E.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: April 29, 2026, 7:37 p.m.