Triple
T15562438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federica Mogherini |
E371031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mogherini |
E371031
|
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: Mogherini | Statement: [Federica Mogherini, familyName, Mogherini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogherini Context triple: [Federica Mogherini, familyName, Mogherini]
-
A.
Federica Mogherini
chosen
Federica Mogherini is an Italian politician and diplomat who served as the European Union’s chief foreign policy and security representative.
-
B.
Catherine Ashton
Catherine Ashton is a British Labour politician and diplomat who served as the European Union's first High Representative for Foreign Affairs and Security Policy.
-
C.
Aiace Parolin
Aiace Parolin was an Italian cinematographer known for his work on genre and art-house films, including the 1976 Western "Keoma."
-
D.
Ursula von der Leyen
Ursula von der Leyen is a German politician who has served as President of the European Commission, making her one of the most influential leaders in the European Union.
-
E.
Mariette Kövesi
Mariette Kövesi was the wife of renowned mathematician and polymath John von Neumann.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddc66448190948280fb0c8d390c |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4046c08190a43bd5577a97f33d |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:09 a.m.