Triple
T1000666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poseidon |
E21594
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Pegasus |
E109455
|
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: Pegasus | Statement: [Poseidon, child, Pegasus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pegasus Context triple: [Poseidon, child, Pegasus]
-
A.
Argus
Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
-
B.
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.
-
C.
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.
-
D.
Argeiphontes
Argeiphontes is an epithet of the Greek god Hermes, highlighting his role as the slayer of the many-eyed giant Argus Panoptes.
-
E.
Hippogriff
A Hippogriff is a magical creature from the Harry Potter series, depicted as a proud, eagle-headed, horse-bodied being that can fly and serve as a mount for wizards.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba52ebc819084e3d003a3ec8417 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.