Triple
T19505394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright |
E488007
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Max Landis |
—
|
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: Max Landis | Statement: [Bright, writer, Max Landis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Landis Context triple: [Bright, writer, Max Landis]
-
A.
Max Landis
chosen
Max Landis is an American screenwriter and filmmaker known for writing the film "Chronicle" and creating the television adaptation of "Dirk Gently's Holistic Detective Agency."
-
B.
Christopher L. Yost
Christopher L. Yost is an American screenwriter and comic book writer known for his work on Marvel films and animated series, including co-writing the screenplay for Thor: Ragnarok.
-
C.
Jordan Vogt-Roberts
Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
-
D.
Josh Abrahams
Josh Abrahams is an Australian electronic music producer and composer known for his work in film, television, and video games.
-
E.
Drew Goddard
Drew Goddard is an American screenwriter, director, and producer known for works like "The Martian," "The Cabin in the Woods," and contributions to genre television series such as "Buffy the Vampire Slayer" and "Daredevil."
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.