Triple
T11734561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quddus |
E278991
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Quddus |
E278991
|
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: Quddus | Statement: [Quddus, givenName, Quddus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quddus Context triple: [Quddus, givenName, Quddus]
-
A.
Quddus
chosen
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.
-
B.
Kamarudeen
Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
-
C.
Cassim
Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
-
D.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
E.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1306859208190bc5d0b4f81fb1bff |
completed | April 28, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:41 p.m.