Triple
T22760155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Williams |
E562962
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Word Records |
—
|
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: Word Records | Statement: [Roger Williams, recordLabel, Word Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Word Records Context triple: [Roger Williams, recordLabel, Word Records]
-
A.
Word Records
chosen
Word Records is a prominent American Christian music record label known for producing and distributing contemporary Christian and gospel artists.
-
B.
Remark Records
Remark Records is a music record label known for releasing albums such as Vanessa Paradis's self-titled studio album.
-
C.
Modern Records
Modern Records was an American independent record label known for its influential rhythm and blues and early rock and roll releases in the mid-20th century.
-
D.
Chart Records
Chart Records was an American country music record label best known for releasing many of Lynn Anderson’s early hits in the 1960s.
-
E.
Sky Records
Sky Records was a German independent record label best known for releasing influential krautrock and experimental electronic music in the 1970s and 1980s.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7b4fe88190b1da25b78f046d13 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.