Triple
T16675749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spellbound |
E405211
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Budgie |
E405192
|
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: Budgie | Statement: [Spellbound, writer, Budgie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budgie Context triple: [Spellbound, writer, Budgie]
-
A.
Budgie
chosen
Budgie is an English drummer best known for his work with the post-punk band Siouxsie and the Banshees and the spin-off project The Creatures.
-
B.
Bengalese finch
The Bengalese finch is a domesticated songbird species widely used in neuroscience and behavioral research for studying vocal learning and complex birdsong patterns.
-
C.
Pidgeon
Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
-
D.
Kookaburra
Kookaburra is a well-known Australian sports equipment brand, particularly famous for manufacturing high-quality cricket balls used in international competitions.
-
E.
Ptiloris
Ptiloris is a genus of birds-of-paradise known for the males’ iridescent plumage and elaborate courtship displays.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b35ce148190a10322f392cb7366 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:19 a.m.