Triple
T22913061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten |
E568653
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Vinny Burns |
—
|
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: Vinny Burns | Statement: [Ten, hasMember, Vinny Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinny Burns Context triple: [Ten, hasMember, Vinny Burns]
-
A.
Vinny Burns
chosen
Vinny Burns is a British rock guitarist best known for his work with melodic rock and progressive bands such as Dare and Ten.
-
B.
Vinnie Dombroski
Vinnie Dombroski is an American rock musician best known as the lead vocalist and songwriter for the band Sponge.
-
C.
Vinnie Lopez
Vinnie Lopez is an American drummer best known as an early member of Bruce Springsteen’s E Street Band.
-
D.
Vinny Pazienza
Vinny Pazienza is an American former professional boxer known for his remarkable comeback to the ring after suffering a broken neck in a car accident.
-
E.
Vinnie Antonelli
Vinnie Antonelli is a fictional mobster-turned-informant portrayed by Steve Martin in the comedy film "My Blue Heaven."
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.