Triple
T35200537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella (2021 film) |
E1016384
|
entity |
| Predicate | fairyGodparentActor |
P138902
|
FINISHED |
| Object | Billy Porter |
—
|
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: Billy Porter | Statement: [Cinderella (2021 film), fairyGodparentActor, Billy Porter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairyGodparentActor Context triple: [Cinderella (2021 film), fairyGodparentActor, Billy Porter]
-
A.
hasFairyGodparent
chosen
Indicates that one entity serves as a fairy godparent to another, providing magical guardianship or assistance.
-
B.
godmother
Indicates that one entity serves as a godmother to another, typically holding a special, often ceremonial or mentoring, parental-like role in their life.
-
C.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
D.
playedByChildActor
Indicates that a role or character is portrayed by an actor who is a child at the time of performance.
-
E.
attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78e36716081909d4beea38c6d6017 |
completed | May 3, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.