Triple
T6765365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atum |
E154704
|
entity |
| Predicate | emergedFrom |
P1257
|
FINISHED |
| Object | Nun |
E131123
|
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: Nun | Statement: [Atum, emergedFrom, Nun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nun Context triple: [Atum, emergedFrom, Nun]
-
A.
Nun
chosen
Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
-
B.
Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
-
C.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
D.
Nur
Nur is a minor yet pivotal character in Naguib Mahfouz’s novel "The Thief and the Dogs," serving as a sympathetic figure who offers refuge and emotional support to the fugitive protagonist, Said Mahran.
-
E.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712be7f9c8190b2667fc4c8d5f601 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:12 p.m.