Triple
T6527088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damson Idris |
E151332
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Damson Idris |
E151332
|
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: Damson Idris | Statement: [Damson Idris, name, Damson Idris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damson Idris Context triple: [Damson Idris, name, Damson Idris]
-
A.
Damson Idris
chosen
Damson Idris is a British actor best known for his lead role as Franklin Saint in the crime drama series "Snowfall" and for his work in various film and television projects.
-
B.
Idris Muhammad
Idris Muhammad was an American jazz drummer renowned for his versatile, groove-oriented playing and influential work in soul jazz, funk, and hard bop.
-
C.
Idris Alooma
Idris Alooma was a powerful 16th-century ruler of the Bornu Empire known for his military conquests, administrative and Islamic reforms, and expansion of trans-Saharan trade.
-
D.
إدريس
إدريس هو اسم علم عربي يُستخدم للذكور وله جذور دينية وتاريخية في الثقافة الإسلامية.
-
E.
Nadim Sawalha
Nadim Sawalha is a Jordanian-British actor known for his character roles in film and television, including appearances in James Bond movies and various British dramas.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52a642c8190a50988f3faf61d39 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.