Triple
T20403785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oeneus |
E500406
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Melanippe |
—
|
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: Melanippe | Statement: [Oeneus, father, Melanippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanippe Context triple: [Oeneus, father, Melanippe]
-
A.
Melanippe
chosen
Melanippe is a figure in Greek mythology, traditionally described as a daughter of the nymph Chariclo and often associated with centaur or horse-related myths.
-
B.
Persephassa
Persephassa is a landmark 1969 percussion composition by Iannis Xenakis, renowned for its innovative spatialization of six percussionists surrounding the audience.
-
C.
Athenodora
Athenodora is a vampire in the Twilight series, known as one of the ancient female leaders of the Volturi coven.
-
D.
Agathokleia
Agathokleia was a prominent Indo-Greek queen and regent, known for ruling on behalf of her son Strato I in parts of northwestern India during the 2nd century BCE.
-
E.
Zeuxippe
Zeuxippe is a figure in Greek mythology known primarily as the wife of King Laomedon of Troy.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.