Triple
T16062788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooke Candy |
E389653
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Liz Y2K
Liz Y2K is a pop singer and songwriter known for her Y2K-inspired aesthetic and collaborations within the hyperpop and alternative pop scenes.
|
E1192105
|
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: Liz Y2K | Statement: [Brooke Candy, hasCollaboratedWith, Liz Y2K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Y2K Context triple: [Brooke Candy, hasCollaboratedWith, Liz Y2K]
-
A.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
B.
Lizz
Lizz is a feminine given name, often used as a shortened form of Elizabeth.
-
C.
Liza Wang
Liza Wang is a renowned Hong Kong actress and Cantonese opera star, celebrated as one of the most influential figures in the local entertainment industry.
-
D.
Liz Gold
Liz Gold is a young, idealistic British Communist who becomes romantically involved with Alec Leamas and is tragically drawn into the intricate espionage plot at the heart of John le Carré’s novel "The Spy Who Came in from the Cold."
-
E.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
- 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: Liz Y2K Triple: [Brooke Candy, hasCollaboratedWith, Liz Y2K]
Generated description
Liz Y2K is a pop singer and songwriter known for her Y2K-inspired aesthetic and collaborations within the hyperpop and alternative pop scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liz Y2K Target entity description: Liz Y2K is a pop singer and songwriter known for her Y2K-inspired aesthetic and collaborations within the hyperpop and alternative pop scenes.
-
A.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
B.
Lizz
Lizz is a feminine given name, often used as a shortened form of Elizabeth.
-
C.
Liza Wang
Liza Wang is a renowned Hong Kong actress and Cantonese opera star, celebrated as one of the most influential figures in the local entertainment industry.
-
D.
Liz Gold
Liz Gold is a young, idealistic British Communist who becomes romantically involved with Alec Leamas and is tragically drawn into the intricate espionage plot at the heart of John le Carré’s novel "The Spy Who Came in from the Cold."
-
E.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837a04108190b5a1dbbe2063039e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ca9748190be24a490c3cf0e8c |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe50986b4819095bb9cd568fcf972 |
completed | May 10, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe56441b881909e3a97331e3821d2 |
completed | May 10, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:57 a.m.