Triple
T19807629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domenico Starnone |
E475855
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Denti |
—
|
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: Denti | Statement: [Domenico Starnone, notableWork, Denti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denti Context triple: [Domenico Starnone, notableWork, Denti]
-
A.
Denti
chosen
Denti is an Italian film featuring actor and director Sergio Rubini, known for its darkly comic exploration of relationships and personal neuroses.
-
B.
Dent
Dent is a small historic village in Cumbria, England, known for its cobbled streets, traditional stone buildings, and scenic setting in the Yorkshire Dales National Park.
-
C.
Dent
Dent is a surname most prominently associated with Richard Dent, a Hall of Fame former NFL defensive end for the Chicago Bears.
-
D.
Zahniser
Zahniser is a surname most notably associated with Howard Zahniser, the American environmentalist and principal author of the U.S. Wilderness Act.
-
E.
Teeth
"Teeth" is a dark, guitar-driven pop-rock single by Australian band 5 Seconds of Summer, known for its industrial edge and prominent use in the soundtrack of the Netflix series "13 Reasons Why."
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.