Triple
T5402925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sephora |
E120822
|
entity |
| Predicate | settingOfCharacter |
P12208
|
FINISHED |
| Object | Midian |
E51335
|
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: Midian | Statement: [Sephora, settingOfCharacter, Midian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midian Context triple: [Sephora, settingOfCharacter, Midian]
-
A.
Midian
chosen
Midian is a biblical figure regarded as one of Abraham’s sons and traditionally seen as the ancestor of the Midianite people.
-
B.
Midianite
A Midianite was a member of an ancient Northwest Arabian people mentioned in the Hebrew Bible, traditionally associated with the region east of the Gulf of Aqaba and known for their interactions with the Israelites.
-
C.
Madyan
Madyan is a scenic hill town and tourist resort in Pakistan’s Swat Valley, known for its cool climate, river views, and surrounding mountains.
-
D.
Canaan
Canaan is the ancient Near Eastern land traditionally associated with the biblical Promised Land, encompassing parts of modern-day Israel, Palestine, Lebanon, and surrounding areas.
-
E.
Hessa
Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87731c1c81909a4dc865282bd289 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9e104881908d6012c87f30061b |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:04 p.m.