Triple
T13600423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Freaky Girl |
E324926
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Malibu Babie
Malibu Babie is a music producer known for crafting bold, pop-rap and hip-hop tracks for major artists.
|
E1048438
|
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: Malibu Babie | Statement: [Super Freaky Girl, producer, Malibu Babie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malibu Babie Context triple: [Super Freaky Girl, producer, Malibu Babie]
-
A.
Maiya
Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
-
B.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
-
C.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
D.
Bebe
Bebe is the nickname of Bebe Neuwirth, the American actress, singer, and dancer best known for her Tony-winning Broadway roles and her portrayal of Lilith Sternin on the TV series "Cheers" and "Frasier."
-
E.
Bebe
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper 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: Malibu Babie Triple: [Super Freaky Girl, producer, Malibu Babie]
Generated description
Malibu Babie is a music producer known for crafting bold, pop-rap and hip-hop tracks for major artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malibu Babie Target entity description: Malibu Babie is a music producer known for crafting bold, pop-rap and hip-hop tracks for major artists.
-
A.
Maiya
Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
-
B.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
-
C.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
D.
Bebe
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
-
E.
Bebe
Bebe is the nickname of Bebe Neuwirth, the American actress, singer, and dancer best known for her Tony-winning Broadway roles and her portrayal of Lilith Sternin on the TV series "Cheers" and "Frasier."
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bcc1ed88190bbf6c83001703b84 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f776449724819096d5363184839e66 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.