Triple
T17889198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who We Used to Be |
E447269
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Confetti and Roses
Confetti and Roses is a song featured on the album "Who We Used to Be."
|
E1293901
|
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: Confetti and Roses | Statement: [Who We Used to Be, hasPart, Confetti and Roses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Confetti and Roses Context triple: [Who We Used to Be, hasPart, Confetti and Roses]
-
A.
Roses & Sunshine
Roses & Sunshine is a studio album by Greek singer Nana Mouskouri that showcases her signature blend of easy-listening pop and folk-influenced ballads.
-
B.
Coming Up Roses
"Coming Up Roses" is a song performed by singer-songwriter Gretta James.
-
C.
Million Roses
"Million Roses" is one of Alla Pugacheva’s most famous Soviet-era pop songs, widely recognized as a signature hit in her repertoire.
-
D.
The Rose Blooms
The Rose Blooms is the English title of the traditional Ladino (Judeo-Spanish) folk song "La Rosa Enflorece," known for its haunting melody and themes of love and longing.
-
E.
Roses Are for the Rich
Roses Are for the Rich is a 1987 American television miniseries melodrama about a woman's quest for revenge against a powerful steel magnate who ruined her family.
- 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: Confetti and Roses Triple: [Who We Used to Be, hasPart, Confetti and Roses]
Generated description
Confetti and Roses is a song featured on the album "Who We Used to Be."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Confetti and Roses Target entity description: Confetti and Roses is a song featured on the album "Who We Used to Be."
-
A.
Roses & Sunshine
Roses & Sunshine is a studio album by Greek singer Nana Mouskouri that showcases her signature blend of easy-listening pop and folk-influenced ballads.
-
B.
Coming Up Roses
"Coming Up Roses" is a song performed by singer-songwriter Gretta James.
-
C.
Million Roses
"Million Roses" is one of Alla Pugacheva’s most famous Soviet-era pop songs, widely recognized as a signature hit in her repertoire.
-
D.
The Rose Blooms
The Rose Blooms is the English title of the traditional Ladino (Judeo-Spanish) folk song "La Rosa Enflorece," known for its haunting melody and themes of love and longing.
-
E.
Roses Are for the Rich
Roses Are for the Rich is a 1987 American television miniseries melodrama about a woman's quest for revenge against a powerful steel magnate who ruined her family.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c15f8b08190ac8d134e32d62d18 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313deda808190853bfcfb16c7909e |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a03153fdc848190af79246027864a48 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:18 a.m.