Triple
T956698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stranger Things |
E20640
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Matt Duffer |
E112801
|
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: Matt Duffer | Statement: [Stranger Things, director, Matt Duffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Duffer Context triple: [Stranger Things, director, Matt Duffer]
-
A.
Matt Duffer
chosen
Matt Duffer is an American television writer, director, and producer best known as one half of the Duffer Brothers, the duo behind the hit Netflix sci-fi horror series "Stranger Things."
-
B.
Chris Weitz
Chris Weitz is an American filmmaker, screenwriter, and producer known for directing films such as "About a Boy" and "The Golden Compass" and for co-directing "American Pie."
-
C.
Daniel Pemberton
Daniel Pemberton is a British composer known for his innovative and eclectic film scores across major Hollywood and independent productions.
-
D.
Dan Scanlon
Dan Scanlon is an American filmmaker and animator best known for his work as a director and writer at Pixar Animation Studios.
-
E.
Craig Zadan
Craig Zadan was an American film, television, and theater producer best known for his work on musical adaptations and live TV musicals, including projects like "Chicago" and NBC's live musical events.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac17016be0819097207669eae17490 |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.