Triple
T9329489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Negulesco |
E224479
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Craiova, Romania |
E197088
|
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: Craiova, Romania | Statement: [Jean Negulesco, placeOfBirth, Craiova, Romania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craiova, Romania Context triple: [Jean Negulesco, placeOfBirth, Craiova, Romania]
-
A.
Craiova
chosen
Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
-
B.
Sibiu, Romania
Sibiu, Romania is a historic Transylvanian city known for its well-preserved medieval architecture and cultural significance, including being named a European Capital of Culture in 2007.
-
C.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
D.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
E.
Otopeni
Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110165800819085d05101a84313d1 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:39 p.m.