Triple
T17231953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Haas |
E418260
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girls in Uniform
Girls in Uniform is a film best known for featuring actress Dolly Haas in a prominent role.
|
E1256985
|
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: Girls in Uniform | Statement: [Dolly Haas, notableWork, Girls in Uniform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girls in Uniform Context triple: [Dolly Haas, notableWork, Girls in Uniform]
-
A.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
-
B.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
-
C.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
D.
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.
-
E.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
- 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: Girls in Uniform Triple: [Dolly Haas, notableWork, Girls in Uniform]
Generated description
Girls in Uniform is a film best known for featuring actress Dolly Haas in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girls in Uniform Target entity description: Girls in Uniform is a film best known for featuring actress Dolly Haas in a prominent role.
-
A.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
-
B.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
-
C.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
D.
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.
-
E.
Of the Girl
"Of the Girl" is a moody, atmospheric rock song by Pearl Jam from their 2000 album "Binaural."
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016838367c8190b5117d5314f71a16 |
completed | May 11, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0168976af88190a5f839a93538ac6f |
completed | May 11, 2026, 5:26 a.m. |
Created at: April 10, 2026, 5:39 a.m.