Triple
T20818399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Mueck |
E512505
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object |
A Girl
A Girl is a hyperrealistic large-scale sculpture by contemporary artist Ron Mueck depicting a newborn baby with striking detail and emotional intensity.
|
E1452147
|
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: A Girl | Statement: [Ron Mueck, hasWork, A Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Girl Context triple: [Ron Mueck, hasWork, A Girl]
-
A.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
Every Girl
"Every Girl" is a 2009 hip hop single by Young Money Entertainment featuring several of the label’s artists, known for its catchy hook and sexually explicit lyrics.
-
D.
Got a Girl
Got a Girl is a pop music duo and side project of actress-singer Mary Elizabeth Winstead, known for its retro, French-influenced sound created in collaboration with producer Dan the Automator.
-
E.
Looking for the Girl
"Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
- 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: A Girl Triple: [Ron Mueck, hasWork, A Girl]
Generated description
A Girl is a hyperrealistic large-scale sculpture by contemporary artist Ron Mueck depicting a newborn baby with striking detail and emotional intensity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A Girl Target entity description: A Girl is a hyperrealistic large-scale sculpture by contemporary artist Ron Mueck depicting a newborn baby with striking detail and emotional intensity.
-
A.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
Every Girl
"Every Girl" is a 2009 hip hop single by Young Money Entertainment featuring several of the label’s artists, known for its catchy hook and sexually explicit lyrics.
-
D.
Got a Girl
Got a Girl is a pop music duo and side project of actress-singer Mary Elizabeth Winstead, known for its retro, French-influenced sound created in collaboration with producer Dan the Automator.
-
E.
Looking for the Girl
"Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090075c4b881908ad6f4c0e7acedb5 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0901384c448190ad8f754d6cf8bbad |
completed | May 16, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901cceb608190badab67cf5609a73 |
completed | May 16, 2026, 11:46 p.m. |
Created at: April 16, 2026, 12:41 p.m.