Triple
T3139447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malik B. |
E65608
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Malik |
E43578
|
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: Malik | Statement: [Malik B., alsoKnownAs, Malik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malik Context triple: [Malik B., alsoKnownAs, Malik]
-
A.
Malik
chosen
Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
-
B.
Malik B.
Malik B. was an American rapper and founding member of the influential hip hop band The Roots, known for his complex lyricism and contributions to the group’s early sound.
-
C.
Malik Yoba
Malik Yoba is an American actor best known for his roles in television series such as "New York Undercover" and films like "Cool Runnings."
-
D.
Malik Talao
Malik Talao is a scenic lake within Ranthambore National Park in Rajasthan, India, known for attracting diverse wildlife and enhancing the park’s natural beauty.
-
E.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada575bbac81909b1b95126f488809 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b39d40c8190a5b1a74cfa4caa81 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:05 p.m.