Triple
T22164857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinny Appice |
E547764
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Last in Line
Last in Line is a hard rock/heavy metal band formed by former Dio members to perform and continue the spirit of Dio’s classic-era music.
|
E1523601
|
NE FINISHED |
How this triple was built (4 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: Last in Line | Statement: [Vinny Appice, memberOf, Last in Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Last in Line Context triple: [Vinny Appice, memberOf, Last in Line]
-
A.
First in Line
"First in Line" is a romantic ballad by Elvis Presley, featured on his 1956 debut studio album.
-
B.
Passing Line
Passing Line is the English title of the Brazilian drama film "Linha de Passe," which follows four brothers struggling to find their paths amid poverty and social tension in São Paulo.
-
C.
In the Waiting Line
"In the Waiting Line" is a downtempo, jazz-influenced electronic track by Zero 7, known for its mellow groove and introspective vocals.
-
D.
Stay in Line
"Stay in Line" is a track by Wu-Tang Clan member GZA, featured on his 2002 hip-hop album "Legend of the Liquid Sword."
-
E.
Toe the Line
"Toe the Line" is a song by the British rock band GTR, known for its melodic rock style and association with progressive rock veterans Steve Hackett and Steve Howe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Last in Line Triple: [Vinny Appice, memberOf, Last in Line]
Generated description
Last in Line is a hard rock/heavy metal band formed by former Dio members to perform and continue the spirit of Dio’s classic-era music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Last in Line Target entity description: Last in Line is a hard rock/heavy metal band formed by former Dio members to perform and continue the spirit of Dio’s classic-era music.
-
A.
First in Line
"First in Line" is a romantic ballad by Elvis Presley, featured on his 1956 debut studio album.
-
B.
Passing Line
Passing Line is the English title of the Brazilian drama film "Linha de Passe," which follows four brothers struggling to find their paths amid poverty and social tension in São Paulo.
-
C.
In the Waiting Line
"In the Waiting Line" is a downtempo, jazz-influenced electronic track by Zero 7, known for its mellow groove and introspective vocals.
-
D.
Stay in Line
"Stay in Line" is a track by Wu-Tang Clan member GZA, featured on his 2002 hip-hop album "Legend of the Liquid Sword."
-
E.
Toe the Line
"Toe the Line" is a song by the British rock band GTR, known for its melodic rock style and association with progressive rock veterans Steve Hackett and Steve Howe.
- F. None of above. chosen
Provenance (5 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a309d8081908f4540fe2da63010 |
completed | April 28, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ebeab0081908baf171fd1e7b241 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0aa2c897f481908f379e8b956b6cfc |
completed | May 18, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa3313bb88190b1223ee5268bc859 |
completed | May 18, 2026, 5:27 a.m. |
Created at: April 16, 2026, 8:34 p.m.