Triple
T19553863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paperwork |
E489257
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sermstyle |
—
|
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: Sermstyle | Statement: [Paperwork, producer, Sermstyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sermstyle Context triple: [Paperwork, producer, Sermstyle]
-
A.
Sermstyle
chosen
Sermstyle is a British music producer and songwriter known for his work in pop and dance music, including collaborations with major international artists.
-
B.
Styler
Styler is the surname of English film producer, actress, and environmental activist Trudie Styler.
-
C.
Styles
Styles is the surname of English singer, songwriter, and actor Harry Styles, known for his work with One Direction and his successful solo career.
-
D.
Styles
Styles is the given name of Styles Bridges, a mid-20th-century American politician who served as Governor of New Hampshire and a long-time U.S. Senator.
-
E.
Simply Styled
Simply Styled is a Sears-exclusive clothing and accessories brand offering contemporary, affordable fashion for everyday wear.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.