Triple
T14277994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Aaron Brown |
E353962
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Near Dark |
E268313
|
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: Near Dark | Statement: [Roger Aaron Brown, notableWork, Near Dark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Near Dark Context triple: [Roger Aaron Brown, notableWork, Near Dark]
-
A.
Near Dark
chosen
Near Dark is a 1987 neo-Western horror film that blends vampire mythology with gritty Americana and is widely regarded as an influential cult classic.
-
B.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
C.
Darkest Before Dawn
Darkest Before Dawn is a short film, likely a dramatic or suspenseful work, whose title evokes themes of struggle and hope before a turning point.
-
D.
The Darkest Part
"The Darkest Part" is a song by the American electronic music trio Cheat Codes.
-
E.
The Darkest Dark
The Darkest Dark is a children's picture book by astronaut Chris Hadfield that uses his childhood fear of the dark to inspire young readers to embrace curiosity and pursue their dreams.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6585270c8190a717127b2f5dab3b |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326f62b4819084b1e984678991ae |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.