Triple
T4400864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva |
E93610
|
entity |
| Predicate | variantFormOf |
P18099
|
FINISHED |
| Object | Chava |
E286573
|
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: Chava | Statement: [Eva, variantFormOf, Chava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chava Context triple: [Eva, variantFormOf, Chava]
-
A.
Chava
chosen
Chava is the Hebrew form of the name Eve, traditionally associated with the first woman in the Biblical creation narrative.
-
B.
Chabi
Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
-
C.
Chára
Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
-
D.
Chuch’e
Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
-
E.
Valeria
Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5f788d081909406a938337bd05a |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:28 p.m.