Triple
T15978323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyanya |
E387506
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Anya Nya |
E1188717
|
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: Anya Nya | Statement: [Anyanya, alsoKnownAs, Anya Nya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anya Nya Context triple: [Anyanya, alsoKnownAs, Anya Nya]
-
A.
Anya-Nya
chosen
Anya-Nya was a Southern Sudanese separatist rebel movement that fought against the Sudanese government during the First Sudanese Civil War (1955–1972).
-
B.
Anata
Anata is a Palestinian town in the Jerusalem Governorate of the West Bank, known for its proximity to Jerusalem and its location near the separation barrier.
-
C.
Nari Nari
Nari Nari is an Australian Aboriginal language traditionally spoken by the Nari Nari people of southwestern New South Wales.
-
D.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
E.
Nanu Nanu
Nanu Nanu is the quirky alien greeting popularized by Robin Williams’s character Mork on the TV sitcom "Mork & Mindy."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575362e081909ff36e4d3c15ff2f |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.