Triple
T19720934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Haskins |
E473605
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Five Girls |
—
|
NE NERFINISHED |
How this triple was built (3 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: Five Girls | Statement: [Sam Haskins, notableWork, Five Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Five Girls Context triple: [Sam Haskins, notableWork, Five Girls]
-
A.
Three Girls
Three Girls is a British television drama miniseries based on the real-life Rochdale child grooming scandal, acclaimed for its powerful performances and sensitive handling of the subject matter.
-
B.
The Young Girls
The Young Girls is a celebrated early 20th-century painting by French artist Marie Laurencin, known for its soft pastel palette and depiction of ethereal, feminine figures that became emblematic of her distinctive style.
-
C.
Light Girls
Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
-
D.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
E.
Calendar Girls
Calendar Girls is a 2003 British comedy-drama film, inspired by a true story, about a group of middle-aged women who pose nude for a charity calendar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Five Girls Target entity description: Five Girls is a 1962 black-and-white photography book by Sam Haskins, celebrated for its innovative, stylized images of women that helped redefine fashion and nude photography.
-
A.
Three Girls
Three Girls is a British television drama miniseries based on the real-life Rochdale child grooming scandal, acclaimed for its powerful performances and sensitive handling of the subject matter.
-
B.
The Young Girls
The Young Girls is a celebrated early 20th-century painting by French artist Marie Laurencin, known for its soft pastel palette and depiction of ethereal, feminine figures that became emblematic of her distinctive style.
-
C.
Light Girls
Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
-
D.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
E.
Calendar Girls
Calendar Girls is a 2003 British comedy-drama film, inspired by a true story, about a group of middle-aged women who pose nude for a charity calendar.
- F. None of above. chosen
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.