Triple
T18937421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cycnus |
E463283
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Pelopia |
—
|
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: Pelopia | Statement: [Cycnus, hasMother, Pelopia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelopia Context triple: [Cycnus, hasMother, Pelopia]
-
A.
Pelopia
chosen
Pelopia is a figure in Greek mythology, known as the daughter of Thyestes and the mother of Aegisthus in the tragic saga of the House of Atreus.
-
B.
Midna
Midna is a key character from The Legend of Zelda series, particularly Twilight Princess, known as the impish Twilight Princess who aids Link with her magical abilities and sharp wit.
-
C.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
D.
Barobo
Barobo is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its fishing industry and nearby island and river attractions.
-
E.
Lokai
Lokai is a dialect of the Madi language spoken by a subset of the Madi people in Central Africa.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e8fdb48190ae70cb23c5bc2c97 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.