Triple
T12037337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chavah |
E286574
|
entity |
| Predicate | transliterationVariantOf |
P5923
|
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: [Chavah, transliterationVariantOf, Chava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chava Context triple: [Chavah, transliterationVariantOf, 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.
Chela
Chela is a fictional character portrayed by actor Ken Hutchison, likely appearing in a film or television production.
-
C.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
D.
Chaloub
Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
-
E.
Chalayan
Chalayan is the surname of Hussein Chalayan, a renowned fashion designer known for his innovative, concept-driven and technologically experimental work.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040a8be881908f4841145a7b4e86 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d8a9af881909e28783b0d83ed82 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.