Triple
T15039871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night Angel Trilogy |
E378571
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Brent Weeks |
E378571
|
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: Brent Weeks | Statement: [The Night Angel Trilogy, author, Brent Weeks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Weeks Context triple: [The Night Angel Trilogy, author, Brent Weeks]
-
A.
Brent Weeks
chosen
Brent Weeks is an American fantasy author best known for his popular series such as *The Night Angel Trilogy* and *Lightbringer*.
-
B.
Mark Lawrence
Mark Lawrence is a composer known for creating the musical score for the film "David and Lisa."
-
C.
Scott Lynch
Scott Lynch is an American fantasy author best known for his Gentleman Bastard series, beginning with the novel "The Lies of Locke Lamora."
-
D.
Joe Abercrombie
Joe Abercrombie is a British fantasy author best known for his gritty, darkly humorous First Law series, which helped popularize the grimdark subgenre.
-
E.
Grant Thompson
Grant Thompson is a screenwriter best known for his work on the inspirational sports drama film "McFarland, USA."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd954548190b3f7c60d95403f3e |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3 a.m.