Triple
T3043750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Smith |
E83391
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girl Meets Boy
Girl Meets Boy is a contemporary novel by Ali Smith that reimagines the myth of Iphis and Ianthe as a modern queer love story exploring gender, identity, and storytelling.
|
E321085
|
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: Girl Meets Boy | Statement: [Ali Smith, notableWork, Girl Meets Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Meets Boy Context triple: [Ali Smith, notableWork, Girl Meets Boy]
-
A.
Boy Meets Girl
Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
-
B.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
C.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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: Girl Meets Boy Triple: [Ali Smith, notableWork, Girl Meets Boy]
Generated description
Girl Meets Boy is a contemporary novel by Ali Smith that reimagines the myth of Iphis and Ianthe as a modern queer love story exploring gender, identity, and storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girl Meets Boy Target entity description: Girl Meets Boy is a contemporary novel by Ali Smith that reimagines the myth of Iphis and Ianthe as a modern queer love story exploring gender, identity, and storytelling.
-
A.
Boy Meets Girl
Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
-
B.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
C.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded35e008190be7dd72aa7537a3b |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfa2fb28819089d7d76d9dc72e06 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e0243a848190bce24d035a79fc0a |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 3:01 p.m.