Triple
T6634338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setonix |
E150408
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Setonix |
E150408
|
NE 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: Setonix | Statement: [Setonix, commonName, Setonix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setonix Context triple: [Setonix, commonName, Setonix]
-
A.
Setonix
chosen
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
B.
Noxon
Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
-
C.
Dosco
Dosco is an informal term for an alumnus of The Doon School, a prestigious all-boys boarding school in Dehradun, India.
-
D.
Siligo
Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Marval
Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf329f08190a3f29c4d4c6aa136 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.