Triple
T12638193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Callaham |
E301819
|
entity |
| Predicate | wroteFor |
P1996
|
FINISHED |
| Object | Amazon Studios |
E31212
|
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: Amazon Studios | Statement: [David Callaham, wroteFor, Amazon Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Studios Context triple: [David Callaham, wroteFor, Amazon Studios]
-
A.
Amazon Studios
chosen
Amazon Studios is the film and television production and distribution arm of Amazon, known for creating original content for the Prime Video streaming platform.
-
B.
Netflix Studios
Netflix Studios is the in-house production arm of Netflix responsible for developing and producing original films and television series for the streaming platform.
-
C.
Annapurna Studios
Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
-
D.
ABC studios
ABC Studios is a television production facility and studio complex associated with the American Broadcasting Company, used for producing and filming various TV shows and game shows.
-
E.
Atlas Studios
Atlas Studios is a major film studio complex in Morocco renowned for its large desert sets and frequent use as a shooting location for international movies and television series.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66873706c8190a9908d1a8629b1c5 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.