Triple
T21587426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmood |
E532686
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Mehmood |
—
|
NE NERFINISHED |
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: Mehmood | Statement: [Mahmood, hasVariantSpelling, Mehmood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehmood Context triple: [Mahmood, hasVariantSpelling, Mehmood]
-
A.
Mahmood
chosen
Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
-
B.
Alim Khan
Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
-
C.
Ali Murad
Ali Murad is a historical figure associated with the Talpur dynasty, known primarily as Mir Ali Murad Khan Talpur, a ruler in 19th-century Sindh.
-
D.
Kashif
Kashif was an American R&B singer, songwriter, and producer known for his influential 1980s work that helped shape the post-disco and urban contemporary sound.
-
E.
Aml Ameen
Aml Ameen is a British actor known for roles in films like "Kidulthood" and "The Maze Runner" as well as television series such as "Sense8."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb621ab88190a33a943424ffb306 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.