Triple
T12697853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussain |
E303381
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Husain |
E303381
|
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: Husain | Statement: [Hussain, hasVariant, Husain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husain Context triple: [Hussain, hasVariant, Husain]
-
A.
Hussain
chosen
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
-
B.
Ahmad
Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
-
C.
Ahmad
Ahmad is the deposed king and heroic protagonist in the 1940 fantasy film "The Thief of Bagdad."
-
D.
Habib
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
-
E.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8a79488190aaf95d4f2e20a7bc |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:22 p.m.