Triple
T20133806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niobids |
E490966
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Amyclas |
—
|
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: Amyclas | Statement: [Niobids, notableMember, Amyclas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amyclas Context triple: [Niobids, notableMember, Amyclas]
-
A.
Amyclas
chosen
Amyclas is a lesser-known figure from Greek mythology sometimes identified in variant traditions as one of Niobe’s surviving children.
-
B.
Artemios
Artemios is the given first name of Greek singer Demis Roussos, an internationally renowned pop and rock vocalist.
-
C.
Terpsion
Terpsion is a character in Plato’s dialogues, notably appearing in the Theaetetus as one of the interlocutors involved in recounting Socratic conversations.
-
D.
Ergamenes
Ergamenes was a king of the ancient Kingdom of Kush, known for asserting royal authority over the priesthood and initiating significant cultural and political reforms.
-
E.
Mylas
Mylas is one of the Telchines, a group of mythical craftsmen and sorcerers from Greek mythology often associated with metalworking and magical arts.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.