Triple
T10040200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handwritten |
E205274
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Blue Dahlia
"Blue Dahlia" is a song by the American rock band The Gaslight Anthem, known as a bonus track from their 2012 album "Handwritten."
|
E836840
|
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: Blue Dahlia | Statement: [Handwritten, hasTrack, Blue Dahlia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Dahlia Context triple: [Handwritten, hasTrack, Blue Dahlia]
-
A.
The Moon Is Blue
The Moon Is Blue is a 1953 romantic comedy film, directed by Otto Preminger and noted for its then-controversial sexual frankness and witty dialogue.
-
B.
Sadder Than Blue
"Sadder Than Blue" is an R&B song by the American vocal group Az Yet, known for its smooth harmonies and emotive, soulful style.
-
C.
The Wallflower
"The Wallflower" is a 1955 R&B song by Etta James, also known as "Roll with Me, Henry," that became one of her early breakout hits and a classic of the genre.
-
D.
Under a Blanket of Blue
"Under a Blanket of Blue" is a jazz standard best known for its smooth, romantic rendition by Ella Fitzgerald and Louis Armstrong.
-
E.
Bed of Roses
Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
- 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: Blue Dahlia Triple: [Handwritten, hasTrack, Blue Dahlia]
Generated description
"Blue Dahlia" is a song by the American rock band The Gaslight Anthem, known as a bonus track from their 2012 album "Handwritten."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Dahlia Target entity description: "Blue Dahlia" is a song by the American rock band The Gaslight Anthem, known as a bonus track from their 2012 album "Handwritten."
-
A.
The Moon Is Blue
The Moon Is Blue is a 1953 romantic comedy film, directed by Otto Preminger and noted for its then-controversial sexual frankness and witty dialogue.
-
B.
Sadder Than Blue
"Sadder Than Blue" is an R&B song by the American vocal group Az Yet, known for its smooth harmonies and emotive, soulful style.
-
C.
The Wallflower
"The Wallflower" is a 1955 R&B song by Etta James, also known as "Roll with Me, Henry," that became one of her early breakout hits and a classic of the genre.
-
D.
Under a Blanket of Blue
"Under a Blanket of Blue" is a jazz standard best known for its smooth, romantic rendition by Ella Fitzgerald and Louis Armstrong.
-
E.
Bed of Roses
Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2827064108190b9079717a4eb98d6 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2834f6d488190812f91a5b4971c1e |
completed | April 5, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d28432d900819091ff0d324a6bb28a |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:55 p.m.