Triple
T20610214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Penry-Jones |
E506427
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sweet Panic |
—
|
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: Sweet Panic | Statement: [Rupert Penry-Jones, notableWork, Sweet Panic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Panic Context triple: [Rupert Penry-Jones, notableWork, Sweet Panic]
-
A.
Sweet Panic
chosen
Sweet Panic is a stage play best known from its London production, in which actor Rupert Penry-Jones appeared.
-
B.
Magnapop
Magnapop is an American alternative rock band known for its catchy, punk-influenced pop songs and strong presence in the 1990s indie music scene.
-
C.
Faster Pussycat
Faster Pussycat is an American glam metal band formed in the mid-1980s, best known for their sleazy hard rock sound and hits like "House of Pain" and "Bathroom Wall."
-
D.
Nazz
Nazz is a popular, easygoing, and kind-hearted girl from the animated series "Ed, Edd n Eddy," often portrayed as the neighborhood crush.
-
E.
Nazz
Nazz was a late-1960s American psychedelic and power pop band best known as Todd Rundgren’s early group and for songs like "Open My Eyes" and "Hello It's Me."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.