Triple
T15354824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music and Lyrics |
E367144
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Aasif Mandvi |
E512549
|
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: Aasif Mandvi | Statement: [Music and Lyrics, starring, Aasif Mandvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aasif Mandvi Context triple: [Music and Lyrics, starring, Aasif Mandvi]
-
A.
Aasif Mandvi
chosen
Aasif Mandvi is a British-American actor, comedian, and writer best known for his work as a correspondent on The Daily Show and for roles in film, television, and theater.
-
B.
Sacha Dhawan
Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
-
C.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
D.
Avan Jogia
Avan Jogia is a Canadian actor best known for his breakout role on the Nickelodeon series "Victorious" and subsequent work in film and television.
-
E.
Feroz Abbas Khan
Feroz Abbas Khan is an Indian theatre and film director known for his acclaimed stage productions and for adapting powerful historical and literary works to screen and stage.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:18 a.m.