Triple
T10627680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chione |
E250363
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object |
Chionê
Chionê is a figure from Greek mythology, often associated with snow and winter and appearing in various mythic traditions under slightly different name forms.
|
E876334
|
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: Chionê | Statement: [Chione, hasNameVariant, Chionê]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chionê Context triple: [Chione, hasNameVariant, Chionê]
-
A.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
B.
Alope
Alope is a figure in Greek mythology, known as the daughter of Cercyon who was loved by the sea god Poseidon and transformed into a spring or a sea creature after her tragic death.
-
C.
Venora
Venora is the surname of American actress Diane Venora, known for her work in film, television, and theater.
-
D.
Lyóva
Lyóva is a given name, typically a variant or transliteration of the name Lyova used in certain Slavic or Eastern European contexts.
-
E.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
- 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: Chionê Triple: [Chione, hasNameVariant, Chionê]
Generated description
Chionê is a figure from Greek mythology, often associated with snow and winter and appearing in various mythic traditions under slightly different name forms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chionê Target entity description: Chionê is a figure from Greek mythology, often associated with snow and winter and appearing in various mythic traditions under slightly different name forms.
-
A.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
B.
Alope
Alope is a figure in Greek mythology, known as the daughter of Cercyon who was loved by the sea god Poseidon and transformed into a spring or a sea creature after her tragic death.
-
C.
Venora
Venora is the surname of American actress Diane Venora, known for her work in film, television, and theater.
-
D.
Lyóva
Lyóva is a given name, typically a variant or transliteration of the name Lyova used in certain Slavic or Eastern European contexts.
-
E.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96ba260b48190a5bde201ee3df69a |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d96fe942648190a8779e13e16b9196 |
completed | April 10, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 8:57 p.m.