Triple
T3001146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halcyon days |
E81189
|
entity |
| Predicate | hasMythologicalSource |
P5444
|
FINISHED |
| Object | Ceyx |
E83068
|
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: Ceyx | Statement: [Halcyon days, hasMythologicalSource, Ceyx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ceyx Context triple: [Halcyon days, hasMythologicalSource, Ceyx]
-
A.
Ceyx
chosen
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.
-
B.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
C.
Pegasus
Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
-
D.
Pegasus
Pegasus is the iconic winged horse that serves as the central emblem in TriStar Pictures' film studio logo.
-
E.
Icarus
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.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e4b54188190bf900bf10061a57a |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.