Triple
T11015048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Murad |
E260341
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Shah |
E365310
|
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: Shah | Statement: [Shah Murad, title, Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shah Context triple: [Shah Murad, title, Shah]
-
A.
Shah
chosen
Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
-
B.
King Shahdov
King Shahdov is the exiled monarch and central figure of Charlie Chaplin’s satirical film "A King in New York," through whom the movie critiques American politics, media, and McCarthy-era paranoia.
-
C.
Rahbar
Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
-
D.
Ram Shah
Ram Shah was a prominent 17th-century king of the Gorkha Kingdom in present-day Nepal, renowned for his just rule and legal reforms that laid foundations for later unification efforts.
-
E.
Malekshahi
Malekshahi is a dialect of Southern Kurdish spoken primarily by the Malekshahi Kurdish tribe in western Iran and parts of Iraq.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.