Triple
T23556546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetradium |
E578199
|
entity |
| Predicate | hasSynonym |
P3575
|
FINISHED |
| Object | Euodia (in part) |
—
|
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: Euodia (in part) | Statement: [Tetradium, hasSynonym, Euodia (in part)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euodia (in part) Context triple: [Tetradium, hasSynonym, Euodia (in part)]
-
A.
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.
-
B.
Epicasta
Epicasta is a figure in Greek mythology known primarily as the mother of Antigone.
-
C.
Lithraea
chosen
Lithraea is a small genus of South American flowering trees and shrubs in the cashew family Anacardiaceae, some species of which are known for causing skin irritation.
-
D.
Cleomestra
Cleomestra is a minor figure in Greek mythology, traditionally named as one of the daughters of King Laomedon of Troy.
-
E.
Mythodea
Mythodea is a large-scale symphonic and choral composition by Greek composer Vangelis, originally written for NASA’s Mars mission and known for its grand, cinematic orchestral style.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed37f248190992f040f4d22f0bf |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:12 p.m.