Triple
T13337868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kraus |
E317743
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Blood Sugar |
E1034912
|
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: Blood Sugar | Statement: [Daniel Kraus, wrote, Blood Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blood Sugar Context triple: [Daniel Kraus, wrote, Blood Sugar]
-
A.
Blood Sugar
chosen
Blood Sugar is a darkly comic horror novel by Daniel Kraus that follows a group of misfit children whose Halloween prank spirals into something far more sinister.
-
B.
Sugar Regulatory Administration
The Sugar Regulatory Administration is a Philippine government agency responsible for regulating, developing, and stabilizing the country’s sugar industry and market.
-
C.
Mellitus
Mellitus was an early 7th-century Christian missionary and the first Bishop of London, later serving as Archbishop of Canterbury in Anglo-Saxon England.
-
D.
Sugar
Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
-
E.
Sugar
Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
- 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.