Triple
T14488018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaserLight |
E359287
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Giorgio Tuinfort |
—
|
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: Giorgio Tuinfort | Statement: [LaserLight, producer, Giorgio Tuinfort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgio Tuinfort Context triple: [LaserLight, producer, Giorgio Tuinfort]
-
A.
Giorgio Tuinfort
chosen
Giorgio Tuinfort is a Dutch-Surinamese songwriter and record producer known for his extensive work with major pop and dance artists such as David Guetta and Akon.
-
B.
Corrado Feroci
Corrado Feroci was an Italian-born sculptor who became a leading figure in modern Thai art and is best known for his monumental public works in Bangkok.
-
C.
Lorenzo Marinelli
Lorenzo Marinelli is an editor known for his work on the film "The Changeling."
-
D.
Marcello Truzzi
Marcello Truzzi was a sociologist and skeptic best known as a co-founder of the modern skeptical movement and an early leader in the critical examination of paranormal claims.
-
E.
Giuseppe Bertolucci
Giuseppe Bertolucci was an Italian film director and screenwriter known for his work in politically engaged and experimental cinema.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
Created at: April 10, 2026, 1:20 a.m.