Triple
T1278182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butterfly |
E27262
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Babydoll
"Babydoll" is a song by the American alternative rock band Butterfly.
|
E146974
|
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: Babydoll | Statement: [Butterfly, hasTrack, Babydoll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babydoll Context triple: [Butterfly, hasTrack, Babydoll]
-
A.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
B.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
C.
Baby-G
Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
-
D.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
-
E.
Candy Girl
"Candy Girl" is the 1983 debut hit single and album by American R&B group New Edition, often regarded as a defining early example of the boy band sound in 1980s pop and R&B 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: Babydoll Triple: [Butterfly, hasTrack, Babydoll]
Generated description
"Babydoll" is a song by the American alternative rock band Butterfly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babydoll Target entity description: "Babydoll" is a song by the American alternative rock band Butterfly.
-
A.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
B.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
C.
Baby-G
Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
-
D.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
-
E.
Candy Girl
"Candy Girl" is the 1983 debut hit single and album by American R&B group New Edition, often regarded as a defining early example of the boy band sound in 1980s pop and R&B 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c091b8408190b9462ea7603aad52 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f91b348190b2994af7edaf4f67 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3ee6d748190bb5b214471f5c191 |
completed | March 7, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca44c41908190981d4ccdcaa7b613 |
completed | March 7, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:50 p.m.