Triple
T12391836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mindy Project |
E296011
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Jesse Novak |
E536319
|
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: Jesse Novak | Statement: [The Mindy Project, composer, Jesse Novak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Novak Context triple: [The Mindy Project, composer, Jesse Novak]
-
A.
Jesse Novak
chosen
Jesse Novak is an American television and film composer best known for scoring shows like "BoJack Horseman" and "The Mindy Project."
-
B.
Mason Novick
Mason Novick is an American film producer and talent manager best known for producing acclaimed independent films such as "Juno," "500 Days of Summer," and "Young Adult."
-
C.
Jesse Lafser
Jesse Lafser is an American singer-songwriter known for her folk- and Americana-influenced music and introspective songwriting.
-
D.
Jesse Andrews
Jesse Andrews is an American novelist and screenwriter best known for writing the young adult novel "Me and Earl and the Dying Girl" and co-writing its film adaptation.
-
E.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efa1520819093cdf6ab3025ab20 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.