Triple
T8085078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honour & Other People’s Children |
E188710
|
entity |
| Predicate | notableAuthorNationality |
P6689
|
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: [Honour & Other People’s Children, notableAuthorNationality, Australian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAuthorNationality Context triple: [Honour & Other People’s Children, notableAuthorNationality, Australian]
-
A.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
-
B.
notableMemberNationality
Indicates that the notable member of a group or organization has the specified nationality.
-
C.
authorNationality
chosen
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
D.
notableWorkAuthor
Indicates that one entity is the creator or author of a notable work associated with another entity.
-
E.
notableAuthorInLanguage
Indicates that a person is a particularly prominent or distinguished author who writes in the specified language.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415f73808190b69db386b447062e |
completed | March 31, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.