Triple
T28430981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Edna’s Hollywood |
E715126
|
entity |
| Predicate | hasHostCharacterNationality |
P24717
|
FINISHED |
| Object | Australian |
—
|
LITERAL FINISHED |
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: Australian | Statement: [Dame Edna’s Hollywood, hasHostCharacterNationality, Australian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostCharacterNationality Context triple: [Dame Edna’s Hollywood, hasHostCharacterNationality, Australian]
-
A.
hasHostCitizenship
Indicates that an entity holds citizenship in, or is a citizen of, a specified host country or jurisdiction.
-
B.
hostNationality
chosen
Indicates the national affiliation or citizenship of the host in a given hosting relationship or context.
-
C.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
-
D.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
E.
isByNationality
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
- 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_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 1:39 a.m.