Triple
T10913274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Marshall Tucker Band |
E257753
|
entity |
| Predicate | vocalist |
P2000
|
FINISHED |
| Object | Doug Gray |
E894216
|
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: Doug Gray | Statement: [The Marshall Tucker Band, vocalist, Doug Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Gray Context triple: [The Marshall Tucker Band, vocalist, Doug Gray]
-
A.
Doug Gray
chosen
Doug Gray is an American singer best known as the longtime lead vocalist and a founding member of the Southern rock group The Marshall Tucker Band.
-
B.
Scott Gray
Scott Gray is a machine learning researcher and engineer known for his work on large-scale neural networks and contributions to OpenAI’s language model research.
-
C.
Doug Graham
Doug Graham is a New Zealand politician and lawyer who served as a senior National Party cabinet minister, notably overseeing major legal and Treaty of Waitangi settlement reforms.
-
D.
Jonathan Gray
Jonathan Gray is an American professional baseball pitcher known for his power fastball and success in Major League Baseball after starring at the University of Oklahoma.
-
E.
Gary Gray
Gary Gray was an American child actor active in the 1940s and 1950s, known for his roles in family and comedy films.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707310b0819092d0140acc3c64ba |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bbf70688190be9315a75582dbe2 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.