Triple
T9702624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelias |
E234813
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Pelopia |
E721953
|
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: Pelopia | Statement: [Pelias, child, Pelopia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelopia Context triple: [Pelias, child, 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.
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.
-
C.
Hylia
Hylia is a small African warbler-like songbird genus in the family Sylviidae, known for its active behavior in forest canopies.
-
D.
Impa
Impa is a recurring character in The Legend of Zelda series, typically depicted as Princess Zelda’s loyal Sheikah guardian and advisor.
-
E.
Lolei
Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d7283188190bd50e18f643ad0d3 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19132687c8190baf3a60af1b789a8 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.