Triple
T16811387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choice Web Star |
E408620
|
entity |
| Predicate | hasSubcategory |
P747
|
FINISHED |
| Object |
Choice Web Star: Female
Choice Web Star: Female is a Teen Choice Awards category that honors popular female internet personalities and content creators.
|
E1234508
|
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: Choice Web Star: Female | Statement: [Choice Web Star, hasSubcategory, Choice Web Star: Female]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choice Web Star: Female Context triple: [Choice Web Star, hasSubcategory, Choice Web Star: Female]
-
A.
Young Woman
"Young Woman" is a figurative painting by American realist artist Isabel Bishop, exemplifying her nuanced depictions of everyday urban women.
-
B.
Onna
Onna is a feminine given name that can be used in various cultures and contexts.
-
C.
Woman V
Woman V is an artwork that forms part of Willem de Kooning’s renowned abstract expressionist “Woman” series.
-
D.
She
"She" is a romantic ballad popularized by Elvis Costello, best known for his 1999 cover used in the film Notting Hill.
-
E.
She
"She" is a 1935 fantasy adventure film directed by Irving Pichel, best known for its exotic lost-world setting and early use of striking production design and special effects.
- 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: Choice Web Star: Female Triple: [Choice Web Star, hasSubcategory, Choice Web Star: Female]
Generated description
Choice Web Star: Female is a Teen Choice Awards category that honors popular female internet personalities and content creators.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Choice Web Star: Female Target entity description: Choice Web Star: Female is a Teen Choice Awards category that honors popular female internet personalities and content creators.
-
A.
Young Woman
"Young Woman" is a figurative painting by American realist artist Isabel Bishop, exemplifying her nuanced depictions of everyday urban women.
-
B.
Onna
Onna is a feminine given name that can be used in various cultures and contexts.
-
C.
Woman V
Woman V is an artwork that forms part of Willem de Kooning’s renowned abstract expressionist “Woman” series.
-
D.
She
"She" is a romantic ballad popularized by Elvis Costello, best known for his 1999 cover used in the film Notting Hill.
-
E.
She
"She" is a 1935 fantasy adventure film directed by Irving Pichel, best known for its exotic lost-world setting and early use of striking production design and special effects.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2d0793c81909d938ac174a6e63a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b33f21a48190b3178aa1241bb85a |
completed | May 10, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3afb3708190ab7d78561a2e778c |
completed | May 10, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:23 a.m.