Triple
T20118529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo La Tengo |
E490532
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Tony Crow |
—
|
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: Tony Crow | Statement: [Yo La Tengo, formerMember, Tony Crow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Crow Context triple: [Yo La Tengo, formerMember, Tony Crow]
-
A.
Tony Crow
chosen
Tony Crow is a musician best known as a member of the indie rock band Lambchop and for his work as a versatile session keyboardist.
-
B.
Frank Crow
Frank Crow is an individual notable enough to be recognized as a prominent bearer of the Crow surname.
-
C.
Chris Bacon
Chris Bacon is an American film and television composer known for scoring projects such as the psychological horror series "Bates Motel."
-
D.
John Grandy
John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
-
E.
Tony Worthington
Tony Worthington is a notable individual who shares the surname Worthington and has achieved sufficient prominence to be specifically recognized by name.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.