Triple
T12438600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Without Remorse |
E297211
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Josh Appelbaum |
E959203
|
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: Josh Appelbaum | Statement: [Without Remorse, producer, Josh Appelbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Appelbaum Context triple: [Without Remorse, producer, Josh Appelbaum]
-
A.
Josh Appelbaum
chosen
Josh Appelbaum is an American screenwriter and producer best known for co-creating and writing television series such as "Alias" and "Zoo" and for his work on major studio films.
-
B.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
C.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
D.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
E.
Keith Bunin
Keith Bunin is an American playwright and screenwriter known for his work on stage and in film, including co-writing the Pixar animated feature "Onward."
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8dc0f881908a3da736d8947ce1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0911a08190ba84a20950762e68 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.