Triple
T28430999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Edna: Back with a Vengeance |
E715127
|
entity |
| Predicate | hasTheatricalCharacter |
P143249
|
FINISHED |
| Object | Dame Edna Everage |
—
|
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: Dame Edna Everage | Statement: [Dame Edna: Back with a Vengeance, hasTheatricalCharacter, Dame Edna Everage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheatricalCharacter Context triple: [Dame Edna: Back with a Vengeance, hasTheatricalCharacter, Dame Edna Everage]
-
A.
hasTheatricalStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular theatrical style associated with another entity.
-
B.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
C.
hasCastCharacter
chosen
Indicates that a media work includes a specific character as part of its cast.
-
D.
hasTheatricalStaging
Indicates that something (such as a work or event) is presented or realized through a theatrical staging or performance.
-
E.
hasTheatricalConvention
Indicates that something (such as a work, performance, or medium) employs or is characterized by a particular theatrical convention or stylistic device used in theater.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 1:39 a.m.