Triple
T17444460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puppet Master |
E424744
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Charles Band |
—
|
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: Charles Band | Statement: [Puppet Master, producer, Charles Band]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Band Context triple: [Puppet Master, producer, Charles Band]
-
A.
Charles Band
chosen
Charles Band is an American filmmaker and founder of Full Moon Features, best known for producing and directing low-budget cult horror and science fiction films.
-
B.
Bullfrog Productions
Bullfrog Productions was a pioneering British video game developer best known for innovative strategy and simulation titles such as Populous, Theme Park, and Dungeon Keeper.
-
C.
Ardent Productions
Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
-
D.
Outlaw Productions
Outlaw Productions is a film and television production company known for producing a range of Hollywood genre movies and commercial features.
-
E.
Ostar Productions
Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.