Triple
T20653232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot & Heavy |
E507554
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jake Finch |
—
|
NE NERFINISHED |
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: Jake Finch | Statement: [Hot & Heavy, producer, Jake Finch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Finch Context triple: [Hot & Heavy, producer, Jake Finch]
-
A.
Jake Finch
Jake Finch is a music producer known for his work on the album "The Record."
-
B.
Jake Finch
chosen
Jake Finch is a film producer known for his work on the movie "Home Video."
-
C.
Lucas Jones
Lucas Jones is a fictional character on the soap opera "General Hospital," known as the son of longtime character Bobbie Spencer.
-
D.
Jon Finch
Jon Finch was an English actor best known for his intense performances in films such as Roman Polanski’s "Macbeth," Alfred Hitchcock’s "Frenzy," and various British horror and science fiction productions.
-
E.
Barrett Doss
Barrett Doss is an American actress and singer best known for her starring role as firefighter Victoria Hughes on the television drama series "Station 19."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eb8c7081908e7dd7f7fa375190 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.