Triple
T19331867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varekai |
E483515
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Icarus |
—
|
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: Icarus | Statement: [Varekai, hasCharacter, Icarus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Icarus Context triple: [Varekai, hasCharacter, Icarus]
-
A.
Icarus
chosen
Icarus is a figure from Greek mythology known for flying too close to the sun with wings made of feathers and wax, causing his fatal fall into the sea.
-
B.
ICARUS
ICARUS is a large liquid-argon time projection chamber neutrino detector designed to study neutrino properties and rare particle interactions.
-
C.
Phaethon
Phaethon is a genus of tropical seabirds known as tropicbirds, characterized by their predominantly white plumage and long, streaming tail feathers.
-
D.
Phaethon
Phaethon is a figure in Greek mythology best known for disastrously attempting to drive the sun god’s chariot across the sky, leading to his death and the scorching of the earth.
-
E.
Ceyx
Ceyx is a figure from Greek mythology, a king of Trachis known for his tragic love story with Alcyone that led to their transformation into halcyon birds.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.