Triple
T10845449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Silence |
E255997
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Tomandandy
Tomandandy is an American musical duo known for their experimental electronic and ambient scores for films, television, and advertising.
|
E889629
|
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: Tomandandy | Statement: [The Silence, musicBy, Tomandandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomandandy Context triple: [The Silence, musicBy, Tomandandy]
-
A.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
B.
Tom & Viv
Tom & Viv is a 1994 British biographical drama film depicting the turbulent marriage of poet T. S. Eliot and his first wife, Vivienne Haigh-Wood.
-
C.
Tad
Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
-
D.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
-
E.
Dandy Don
Dandy Don was the popular nickname of Don Meredith, a star Dallas Cowboys quarterback and pioneering color commentator on Monday Night Football.
- 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: Tomandandy Triple: [The Silence, musicBy, Tomandandy]
Generated description
Tomandandy is an American musical duo known for their experimental electronic and ambient scores for films, television, and advertising.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomandandy Target entity description: Tomandandy is an American musical duo known for their experimental electronic and ambient scores for films, television, and advertising.
-
A.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
B.
Tom & Viv
Tom & Viv is a 1994 British biographical drama film depicting the turbulent marriage of poet T. S. Eliot and his first wife, Vivienne Haigh-Wood.
-
C.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
-
D.
Tad
Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
-
E.
Dandy Don
Dandy Don was the popular nickname of Don Meredith, a star Dallas Cowboys quarterback and pioneering color commentator on Monday Night Football.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:19 p.m.