Triple
T18693995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyia |
E457067
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Magnes |
—
|
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: Magnes | Statement: [Thyia, child, Magnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnes Context triple: [Thyia, child, Magnes]
-
A.
Magnes
Magnes is a surname most notably associated with Judah Magnes, an American Reform rabbi, Zionist leader, and first president of the Hebrew University of Jerusalem.
-
B.
Magnes
chosen
Magnes is a figure in Greek mythology, traditionally regarded as a son of Enarete and an early eponymous king associated with the region of Magnesia.
-
C.
Magni
Magni is a Norse god, one of Thor’s sons, renowned in mythology for his immense strength and survival of Ragnarök.
-
D.
Tauresium
Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
E.
Magan
Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.