Triple
T13778390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayan |
E331070
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Dayyan |
E331070
|
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: Dayyan | Statement: [Dayan, hasVariantTransliteration, Dayyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayyan Context triple: [Dayan, hasVariantTransliteration, Dayyan]
-
A.
Dayan
chosen
Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
-
B.
Deran
Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
-
C.
Diannan
Diannan is the art name (courtesy name) of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar.
-
D.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
E.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e152ac8190b8d705295df4834a |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.