Triple
T6283728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tom Club |
E140844
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Art Labriola
Art Labriola is a musician best known for his work with the new wave band Tom Tom Club.
|
E581676
|
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: Art Labriola | Statement: [Tom Tom Club, hasMember, Art Labriola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Labriola Context triple: [Tom Tom Club, hasMember, Art Labriola]
-
A.
Art Weingartner
Art Weingartner is a paranoid, nosy suburban neighbor and comic sidekick in the dark comedy film "The 'Burbs."
-
B.
Art Lasky
Art Lasky was an American heavyweight boxer of the 1930s who was known as a tough contender in the pre–World War II era.
-
C.
Charles Castaldi
Charles Castaldi is a film producer best known for his work on the music documentary "Soul Men."
-
D.
Leo Castelli
Leo Castelli was a pioneering Italian-American art dealer whose New York gallery played a crucial role in launching and promoting major postwar American artists, including many associated with Pop Art and Minimalism.
-
E.
Harry Kurnitz
Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
- 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: Art Labriola Triple: [Tom Tom Club, hasMember, Art Labriola]
Generated description
Art Labriola is a musician best known for his work with the new wave band Tom Tom Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Art Labriola Target entity description: Art Labriola is a musician best known for his work with the new wave band Tom Tom Club.
-
A.
Art Weingartner
Art Weingartner is a paranoid, nosy suburban neighbor and comic sidekick in the dark comedy film "The 'Burbs."
-
B.
Art Lasky
Art Lasky was an American heavyweight boxer of the 1930s who was known as a tough contender in the pre–World War II era.
-
C.
Charles Castaldi
Charles Castaldi is a film producer best known for his work on the music documentary "Soul Men."
-
D.
Leo Castelli
Leo Castelli was a pioneering Italian-American art dealer whose New York gallery played a crucial role in launching and promoting major postwar American artists, including many associated with Pop Art and Minimalism.
-
E.
Harry Kurnitz
Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196864788190934e7c66d450dcf1 |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51e9932cc8190bce03a28097a2ddc |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f1689dc8190bbd38cd7a5425224 |
completed | March 26, 2026, 11:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.