Triple
T296053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idris Elba |
E6094
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Idrissa
Idrissa is the given first name of British actor, producer, and musician Idris Elba.
|
E38384
|
NE FINISHED |
How this triple was built (4 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: Idrissa | Statement: [Idris Elba, givenName, Idrissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idrissa Context triple: [Idris Elba, givenName, Idrissa]
-
A.
Bambara
Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
-
B.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Mandinka
Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
-
E.
Monsieur Ibrahim
Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Idrissa Triple: [Idris Elba, givenName, Idrissa]
Generated description
Idrissa is the given first name of British actor, producer, and musician Idris Elba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Idrissa Target entity description: Idrissa is the given first name of British actor, producer, and musician Idris Elba.
-
A.
Bambara
Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
-
B.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Mandinka
Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
-
E.
Monsieur Ibrahim
Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
- F. None of above. chosen
Provenance (5 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e979663481908cf9622e59fed041 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a88778b48190856af2e89d21621a |
completed | March 1, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69a3a8f94d848190ad2410b5f8f8f79d |
completed | March 1, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a96d153081909fab6bace45206ec |
completed | March 1, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.