Triple
T8917250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mushhushshu |
E212322
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | sirrush |
E419862
|
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: sirrush | Statement: [Mushhushshu, nameVariant, sirrush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sirrush Context triple: [Mushhushshu, nameVariant, sirrush]
-
A.
SiR
SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
-
B.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
-
C.
Sis
Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
-
D.
Shush
chosen
Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
-
E.
SIR
SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6610cd48819090a184c5f9465626 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4567a88190855b964bc6e3ac6f |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:56 p.m.