Triple
T18342539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirza Tahir Ahmad |
E439446
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tahir |
—
|
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: Tahir | Statement: [Mirza Tahir Ahmad, givenName, Tahir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tahir Context triple: [Mirza Tahir Ahmad, givenName, Tahir]
-
A.
Tahir
chosen
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
B.
Tahsin
Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
-
C.
Jalil
Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
-
D.
Hassanali
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
-
E.
Quddus
Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f188e081909cdbce61a21b9591 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.