Triple
T20504917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vita Wulfstani |
E503402
|
entity |
| Predicate | hasTitleInLatin |
P9999
|
FINISHED |
| Object | Vita Wulfstani |
—
|
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: Vita Wulfstani | Statement: [Vita Wulfstani, hasTitleInLatin, Vita Wulfstani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vita Wulfstani Context triple: [Vita Wulfstani, hasTitleInLatin, Vita Wulfstani]
-
A.
Vita Wulfstani
chosen
Vita Wulfstani is a medieval Latin hagiographical biography of St. Wulfstan of Worcester, written by the historian William of Malmesbury.
-
B.
Vita Aldhelmi
Vita Aldhelmi is a medieval Latin hagiographical biography of St Aldhelm written by the English historian and monk William of Malmesbury.
-
C.
Anna Vatan
Anna Vatan is the young daughter of undercover French Resistance fighter Marianne Beauséjour in the World War II film "Allied."
-
D.
Aurelia Fadilla
Aurelia Fadilla was a Roman noblewoman of the 2nd century AD, known primarily as the daughter of Emperor Antoninus Pius and Empress Faustina the Elder.
-
E.
Thilda Kemal
Thilda Kemal was the wife and close literary collaborator of renowned Turkish novelist Yaşar Kemal, known for translating and promoting his works internationally.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc539908190a18918fd9b7a829d |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:35 a.m.