Triple
T5070094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fink |
E114254
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bloom Innocent
Bloom Innocent is a 2019 studio album by British singer-songwriter and producer Fink, blending atmospheric folk, blues, and electronic influences.
|
E490724
|
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: Bloom Innocent | Statement: [Fink, notableWork, Bloom Innocent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloom Innocent Context triple: [Fink, notableWork, Bloom Innocent]
-
A.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
-
B.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
C.
In Bloom
"In Bloom" is a popular grunge song by Nirvana, known for its heavy guitar riffs and critique of mainstream misinterpretation of the band's music.
-
D.
Bloomy
Bloomy is an informal nickname commonly used to refer to the city of Bloomington, Indiana.
-
E.
The Innocent
"The Innocent" is a 1993 romantic drama film directed by John Schlesinger, based on Ian McEwan's novel about a naive American technician drawn into Cold War espionage and a dangerous love affair in 1950s Berlin.
- 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: Bloom Innocent Triple: [Fink, notableWork, Bloom Innocent]
Generated description
Bloom Innocent is a 2019 studio album by British singer-songwriter and producer Fink, blending atmospheric folk, blues, and electronic influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloom Innocent Target entity description: Bloom Innocent is a 2019 studio album by British singer-songwriter and producer Fink, blending atmospheric folk, blues, and electronic influences.
-
A.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
B.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
-
C.
In Bloom
"In Bloom" is a popular grunge song by Nirvana, known for its heavy guitar riffs and critique of mainstream misinterpretation of the band's music.
-
D.
Bloomy
Bloomy is an informal nickname commonly used to refer to the city of Bloomington, Indiana.
-
E.
The Innocent
"The Innocent" is a 1993 romantic drama film directed by John Schlesinger, based on Ian McEwan's novel about a naive American technician drawn into Cold War espionage and a dangerous love affair in 1950s Berlin.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749f47908190891ac8432c5b5615 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a348e081909ccba9ce469c722c |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea584a5a081908b6cf5abf1be393e |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea61dbff08190819dc8da376d5e6d |
completed | March 21, 2026, 2:07 p.m. |
Created at: March 20, 2026, 1:39 p.m.