Triple
T20620857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sea of Trees |
E506692
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Bloom
Bloom is a film production company known for financing and producing independent and international feature films.
|
E1441585
|
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 | Statement: [The Sea of Trees, productionCompany, Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloom Context triple: [The Sea of Trees, productionCompany, Bloom]
-
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.
Bloom
Bloom is the second studio album by Australian singer-songwriter Troye Sivan, known for its lush pop production and explorations of queer love and self-discovery.
-
D.
Bloom Innocent
Bloom Innocent is a 2019 studio album by British singer-songwriter and producer Fink, blending atmospheric folk, blues, and electronic influences.
-
E.
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.
- 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 Triple: [The Sea of Trees, productionCompany, Bloom]
Generated description
Bloom is a film production company known for financing and producing independent and international feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloom Target entity description: Bloom is a film production company known for financing and producing independent and international feature films.
-
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.
Bloom
Bloom is the second studio album by Australian singer-songwriter Troye Sivan, known for its lush pop production and explorations of queer love and self-discovery.
-
D.
Bloom Innocent
Bloom Innocent is a 2019 studio album by British singer-songwriter and producer Fink, blending atmospheric folk, blues, and electronic influences.
-
E.
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.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1776588190923236057cfd1b8f |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bdd076f08190a6663d891d503a29 |
completed | May 16, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08be4eddbc8190b02a5b8b96ee6a29 |
completed | May 16, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:42 a.m.