Triple
T13337865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kraus |
E317743
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Rotters |
E1034909
|
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: Rotters | Statement: [Daniel Kraus, wrote, Rotters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotters Context triple: [Daniel Kraus, wrote, Rotters]
-
A.
Rotters
chosen
Rotters is a dark young adult horror novel by Daniel Kraus that follows a teenager drawn into a gruesome underground world of grave robbing.
-
B.
The Rotters' Club
The Rotters' Club is a 2005 BBC television drama series, adapted from Jonathan Coe's novel, that follows a group of teenagers growing up in 1970s Birmingham amid social and political upheaval.
-
C.
Rottenbuch
Rottenbuch is a small Bavarian municipality in southern Germany, known for its historic Premonstratensian monastery and picturesque alpine foothill setting.
-
D.
Shankman
Shankman is a surname most notably associated with American film director and choreographer Adam Shankman.
-
E.
Dirty Three
Dirty Three is an Australian instrumental rock trio known for its emotive, violin-led compositions that blend post-rock, folk, and experimental influences.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267132488190a62930e98be70640 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:31 p.m.