Triple
T14641649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book Three: Bella |
E343737
|
entity |
| Predicate | featuresGroup |
P17143
|
FINISHED |
| Object | Volturi |
E77012
|
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: Volturi | Statement: [Book Three: Bella, featuresGroup, Volturi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volturi Context triple: [Book Three: Bella, featuresGroup, Volturi]
-
A.
Volturi
chosen
The Volturi are a powerful and authoritarian coven of ancient vampires who act as the ruling elite and enforcers of law in the Twilight universe.
-
B.
Voltumna
Voltumna is a major Etruscan deity, often regarded as a supreme or central god associated with the political and religious unity of the Etruscan people.
-
C.
Vicetini
Vicetini are the inhabitants or natives of Vicenza, a historic city in northeastern Italy.
-
D.
Victurnien
Victurnien is the given name of Pierre Victurnien Vergniaud, a prominent French lawyer and leading Girondin orator during the French Revolution.
-
E.
Mouresi
Mouresi is a traditional mountain village in the Pelion region of Greece, known for its stone-built houses, lush natural surroundings, and views over the Aegean Sea.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.