Triple
T3633547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volturi |
E77012
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Athenodora
Athenodora is a vampire in the Twilight series, known as one of the ancient female leaders of the Volturi coven.
|
E375646
|
NE FINISHED |
How this triple was built (4 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: Athenodora | Statement: [Volturi, member, Athenodora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athenodora Context triple: [Volturi, member, Athenodora]
-
A.
Demitra
Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
-
B.
Polymele
Polymele is a figure in Greek mythology known primarily as the mother of the hero Patroclus.
-
C.
Caecilia Attica
Caecilia Attica was a Roman noblewoman of the late Republic, known as the daughter of Cicero’s close friend Titus Pomponius Atticus and the first wife of the powerful general and statesman Marcus Vipsanius Agrippa.
-
D.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
E.
Alcione
Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Athenodora Triple: [Volturi, member, Athenodora]
Generated description
Athenodora is a vampire in the Twilight series, known as one of the ancient female leaders of the Volturi coven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Athenodora Target entity description: Athenodora is a vampire in the Twilight series, known as one of the ancient female leaders of the Volturi coven.
-
A.
Demitra
Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
-
B.
Polymele
Polymele is a figure in Greek mythology known primarily as the mother of the hero Patroclus.
-
C.
Caecilia Attica
Caecilia Attica was a Roman noblewoman of the late Republic, known as the daughter of Cicero’s close friend Titus Pomponius Atticus and the first wife of the powerful general and statesman Marcus Vipsanius Agrippa.
-
D.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
E.
Alcione
Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
- F. None of above. chosen
Provenance (5 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30457608190840fb5b33f9965c4 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1af1c48190a72effe80959bfb3 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b4517370888190bd4082420c5d5a32 |
completed | March 13, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b458a3ad2c8190a0b50cc8a31ae5eb |
completed | March 13, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:23 p.m.