Triple
T20441603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenus |
E501406
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Deianira |
—
|
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: Deianira | Statement: [Glenus, mother, Deianira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deianira Context triple: [Glenus, mother, Deianira]
-
A.
Deianira
Deianira is a figure in Greek mythology best known as the second wife of the hero Heracles and for inadvertently causing his death through the poisoned tunic.
-
B.
Deianeira (mother of Oeneus)
chosen
Deianeira, in Greek mythology, is a relatively obscure figure known primarily as the mother of King Oeneus of Calydon.
-
C.
Antiope
Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
-
D.
Antiope
Antiope is a figure in Greek mythology, often associated with Thebes and known for her tragic story involving Zeus and the birth of the twins Amphion and Zethus.
-
E.
Oenone
Oenone is a nymph from Greek mythology, known as the first wife of Paris of Troy and a tragic figure in the events surrounding the Trojan War.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.