Triple
T22451372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dik Evans |
E554998
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Feedback |
—
|
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: Feedback | Statement: [Dik Evans, associatedAct, Feedback]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feedback Context triple: [Dik Evans, associatedAct, Feedback]
-
A.
Feedback
Feedback is a Spanish horror-thriller film starring Ivana Baquero, known for its tense, claustrophobic setting inside a radio station under siege.
-
B.
Feedback
chosen
Feedback was an early Irish rock band formed in Dublin that included future U2 members among its lineup.
-
C.
Feedback
"Feedback" is a 2008 dance-pop and R&B single by American singer Janet Jackson, known for its futuristic production and sexually confident lyrics.
-
D.
Feedback Hub
Feedback Hub is a Windows app that lets users submit feedback, report issues, and suggest improvements directly to Microsoft, especially as part of the Windows Insider Program.
-
E.
Site Feedback
Site Feedback is a section of the Python community’s Discourse forum where users can share comments, suggestions, and issues related to the site itself.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.