Triple
T13059566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What a Time to Be Alive |
E329162
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Maneesh |
E1018504
|
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: Maneesh | Statement: [What a Time to Be Alive, producer, Maneesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maneesh Context triple: [What a Time to Be Alive, producer, Maneesh]
-
A.
Maneesh
chosen
Maneesh is a music producer best known for his work on the song "Views."
-
B.
Manish Man
Manish Man is a character known for protecting the powerful magical artifact called the Enchiridion in the Adventure Time universe.
-
C.
Manava Naik
Manava Naik is an Indian actress known for her work in Hindi and Marathi films and television.
-
D.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
-
E.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d6016984819097c999772db1e831 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.