Triple
T21848683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew W.K. |
E539443
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cherie Lily
Cherie Lily is an American singer, songwriter, and performance artist known for her high-energy "workout pop" music and collaborations with rock musician Andrew W.K.
|
E1505410
|
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: Cherie Lily | Statement: [Andrew W.K., spouse, Cherie Lily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherie Lily Context triple: [Andrew W.K., spouse, Cherie Lily]
-
A.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
B.
Cherie Lunghi
Cherie Lunghi is an English actress known for her work in film, television, and theatre, including prominent roles in productions such as the fantasy film "Excalibur."
-
C.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
D.
Charlene
"Charlene" is a soulful R&B ballad by Anthony Hamilton that became one of his signature songs, known for its heartfelt lyrics about love and regret.
-
E.
Charlene
Charlene is a fictional character who works at the Metropolitan Public Library, often depicted as part of its staff in related stories.
- 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: Cherie Lily Triple: [Andrew W.K., spouse, Cherie Lily]
Generated description
Cherie Lily is an American singer, songwriter, and performance artist known for her high-energy "workout pop" music and collaborations with rock musician Andrew W.K.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherie Lily Target entity description: Cherie Lily is an American singer, songwriter, and performance artist known for her high-energy "workout pop" music and collaborations with rock musician Andrew W.K.
-
A.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
B.
Cherie Lunghi
Cherie Lunghi is an English actress known for her work in film, television, and theatre, including prominent roles in productions such as the fantasy film "Excalibur."
-
C.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
D.
Charlene
"Charlene" is a soulful R&B ballad by Anthony Hamilton that became one of his signature songs, known for its heartfelt lyrics about love and regret.
-
E.
Charlene
Charlene is a fictional character who works at the Metropolitan Public Library, often depicted as part of its staff in related stories.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bcfd92c8190a7f9f4a521c9086e |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4ccdd0a881908d32425b7cbb30c4 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4de7d07c8190a0ccb1c229e7fc5d |
completed | May 17, 2026, 11:23 p.m. |
Created at: April 16, 2026, 6:55 p.m.