Triple
T3407374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbar II |
E71805
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Shahanshah |
E74116
|
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: Shahanshah | Statement: [Akbar II, title, Shahanshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahanshah Context triple: [Akbar II, title, Shahanshah]
-
A.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
B.
Shahanshah of Persia
chosen
The Shahanshah of Persia was the imperial title used by the monarchs who ruled over the Persian Empire, signifying their status as "King of Kings" and supreme sovereign over subordinate rulers.
-
C.
King of Persia
Cyrus the Great was the founder of the Achaemenid Empire, renowned for creating one of the largest empires in history and for his relatively progressive policies toward conquered peoples.
-
D.
Serse
Serse is a comic opera by George Frideric Handel, best known for its famous aria "Ombra mai fu."
-
E.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.