Triple
T19839419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Younes |
E476684
|
entity |
| Predicate | hasTransliterationVariant |
P5923
|
FINISHED |
| Object | Younus |
—
|
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: Younus | Statement: [Younes, hasTransliterationVariant, Younus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Younus Context triple: [Younes, hasTransliterationVariant, Younus]
-
A.
Younus
chosen
Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
-
B.
Hasnat Khan
Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
-
C.
Mohammed Aamir Hussain Khan
Mohammed Aamir Hussain Khan, better known as Aamir Khan, is a highly acclaimed Indian film actor, producer, and director renowned for his influential roles and socially conscious, commercially successful movies in Bollywood.
-
D.
Waqar Younis
Waqar Younis is a legendary Pakistani fast bowler renowned for his devastating reverse swing and prolific wicket-taking, particularly in one-day internationals.
-
E.
Hafeez
Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:50 p.m.