Triple
T10580189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enlightened Rogues |
E249714
|
entity |
| Predicate | featuresMember |
P17143
|
FINISHED |
| Object | Dan Toler |
E323214
|
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: Dan Toler | Statement: [Enlightened Rogues, featuresMember, Dan Toler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Toler Context triple: [Enlightened Rogues, featuresMember, Dan Toler]
-
A.
Dan Toler
chosen
Dan Toler was an American rock and blues guitarist best known for his work with Southern rock groups in the late 1970s and 1980s.
-
B.
Dean Tolson
Dean Tolson is a former American professional basketball player best known for his college career at the University of Arkansas and his time as a forward in the NBA during the 1970s.
-
C.
Paul Tollett
Paul Tollett is an American concert promoter best known as the co-founder and driving force behind the Coachella Valley Music and Arts Festival.
-
D.
Dan Totheroh
Dan Totheroh was an American playwright, screenwriter, and occasional actor known for his work in early 20th-century theater and film.
-
E.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52759faa4819081c195488803ada9 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e78ad6c81909eaa0cdc41c5cc82 |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:38 p.m.