Triple
T17497684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Rainger |
E426107
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love in Bloom
Love in Bloom is a popular 1930s American song, best known as a romantic standard and theme tune associated with comedian Jack Benny.
|
E1272477
|
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: Love in Bloom | Statement: [Ralph Rainger, notableWork, Love in Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love in Bloom Context triple: [Ralph Rainger, notableWork, Love in Bloom]
-
A.
Full Bloom
Full Bloom is a romantic suspense novel co-written by Janet Evanovich and Charlotte Hughes, featuring quirky characters, humor, and mystery in a small Southern town setting.
-
B.
In Love We Grow
"In Love We Grow" is a soulful R&B track by Rufus from their early 1970s period, showcasing the band's smooth grooves and emotive vocal style.
-
C.
Blossom Time
Blossom Time is a popular operetta adapted from the music of Franz Schubert, known for its romantic story and melodic score.
-
D.
Rose in Bloom
Rose in Bloom is a coming-of-age novel by Louisa May Alcott that follows the personal and moral development of a young heiress navigating love, family, and social expectations.
-
E.
Blooming
Blooming is a professional football club from Bolivia that competes in the country's top-tier league.
- 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: Love in Bloom Triple: [Ralph Rainger, notableWork, Love in Bloom]
Generated description
Love in Bloom is a popular 1930s American song, best known as a romantic standard and theme tune associated with comedian Jack Benny.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love in Bloom Target entity description: Love in Bloom is a popular 1930s American song, best known as a romantic standard and theme tune associated with comedian Jack Benny.
-
A.
Full Bloom
Full Bloom is a romantic suspense novel co-written by Janet Evanovich and Charlotte Hughes, featuring quirky characters, humor, and mystery in a small Southern town setting.
-
B.
In Love We Grow
"In Love We Grow" is a soulful R&B track by Rufus from their early 1970s period, showcasing the band's smooth grooves and emotive vocal style.
-
C.
Blossom Time
Blossom Time is a popular operetta adapted from the music of Franz Schubert, known for its romantic story and melodic score.
-
D.
Rose in Bloom
Rose in Bloom is a coming-of-age novel by Louisa May Alcott that follows the personal and moral development of a young heiress navigating love, family, and social expectations.
-
E.
Blooming
Blooming is a professional football club from Bolivia that competes in the country's top-tier league.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c2067774819089728021aef5f967 |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c36b06dc81909f52cbe1c57eb128 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.