Triple
T16671839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colors |
E405121
|
entity |
| Predicate | mixer |
P30367
|
FINISHED |
| Object | Serban Ghenea |
E707990
|
NE FINISHED |
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: Serban Ghenea | Statement: [Colors, mixer, Serban Ghenea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serban Ghenea Context triple: [Colors, mixer, Serban Ghenea]
-
A.
Serban Ghenea
chosen
Serban Ghenea is a renowned audio mixing engineer known for his work on numerous chart-topping pop and R&B records for major international artists.
-
B.
Dani Popescu
Dani Popescu is an actor best known for his role in the satirical comedy film "Borat Subsequent Moviefilm."
-
C.
Bogdan Tofan
Bogdan Tofan is a Romanian architect known for his role in designing the monumental People’s Salvation Cathedral in Bucharest.
-
D.
Miron Cristea
Miron Cristea was a Romanian Orthodox cleric and politician who became the first Patriarch of the Romanian Orthodox Church and later served as Prime Minister of Romania.
-
E.
Silviu Petrescu
Silviu Petrescu is a Canadian professional soccer referee known for officiating high-profile Major League Soccer matches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:18 a.m.