Triple
T21761820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinyras |
E537181
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Myrrha |
—
|
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: Myrrha | Statement: [Cinyras, child, Myrrha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrrha Context triple: [Cinyras, child, Myrrha]
-
A.
Myrrha
chosen
Myrrha is a figure from Greek mythology known for her tragic, taboo love for her father Cinyras and as the mother of the beautiful youth Adonis.
-
B.
Myrrhine
Myrrhine is a central female character in Aristophanes’ comedy "Lysistrata," known for her humorous and strategic role in the women’s sex strike to end the Peloponnesian War.
-
C.
Zinna
Zinna is a small town located within the Leipzig metropolitan region in eastern Germany.
-
D.
Euodia
Euodia is a Christian woman mentioned in the New Testament book of Philippians, known for a disagreement with another woman named Syntyche that Paul urges them to resolve.
-
E.
Myrtus
Myrtus is a genus of aromatic evergreen shrubs and small trees, best known for the common myrtle often used ornamentally and for its fragrant leaves and berries.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d9369f88190b4be11b82fe75a17 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:51 p.m.