Triple
T15287371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frans Timmermans |
E365435
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frans |
E365435
|
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: Frans | Statement: [Frans Timmermans, givenName, Frans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frans Context triple: [Frans Timmermans, givenName, Frans]
-
A.
Frans
chosen
Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
-
B.
Francen
Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
-
C.
Frant
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
-
D.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
E.
Holland
Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.