Triple
T15603209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khosrow II |
E375085
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shirin |
E229793
|
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: Shirin | Statement: [Khosrow II, spouse, Shirin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirin Context triple: [Khosrow II, spouse, Shirin]
-
A.
Shirin
chosen
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
B.
Roshanak
Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
-
C.
Buin Zahra
Buin Zahra is a city in northwestern Iran known for its agricultural economy and its location within Qazvin Province.
-
D.
Sudabeh
Sudabeh is a prominent figure in the Persian epic Shahnameh, known as the queen whose tragic and deceitful actions play a key role in the downfall of Prince Siyavash.
-
E.
Roya
Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.