Triple
T21291261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesco Zolla |
E524795
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zolla |
—
|
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: Zolla | Statement: [Francesco Zolla, familyName, Zolla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zolla Context triple: [Francesco Zolla, familyName, Zolla]
-
A.
Zolla
chosen
Zolla is an alternative form of the name Zola, which is used as a given name and surname in various cultures.
-
B.
Oursler
Oursler is the surname of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
-
C.
The Scheu
The Scheu is the popular nickname for Scheumann Stadium, the football stadium at Ball State University in Muncie, Indiana.
-
D.
Goldroom
Goldroom is the stage name of American electronic musician and producer Josh Legg, known for his sun-soaked, disco-influenced synth-pop and chillwave tracks.
-
E.
Bazaar
Bazaar is a 1982 Hindi-language drama film that critically portrays the social and emotional consequences of arranged marriages driven by dowry and economic pressures in Indian society.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.