Triple
T20222641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children of Demeter |
E495295
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Arion |
—
|
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: Arion | Statement: [Children of Demeter, includes, Arion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arion Context triple: [Children of Demeter, includes, Arion]
-
A.
Arion
chosen
Arion is a mythical, divinely-bred immortal horse in Greek mythology, famed for his incredible speed and often associated with heroes such as Heracles and Adrastus.
-
B.
Bellerophon
Bellerophon is a hero of Greek mythology best known for taming the winged horse Pegasus and slaying the monstrous Chimera.
-
C.
Pegasus
Pegasus is the iconic winged horse that serves as the central emblem in TriStar Pictures' film studio logo.
-
D.
Pegasus
Pegasus is a prominent constellation in the northern sky, named after the winged horse of Greek mythology and easily recognized by its large "Great Square" asterism.
-
E.
Pegasus
Pegasus is a legendary winged horse from Greek mythology, famed for his divine origin and association with heroes and the Muses.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.