Triple
T8881452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Szmanda |
E211419
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
100 Girls
100 Girls is a 2000 romantic comedy film that follows a college freshman's quest to find a mystery girl he met during a blackout in an elevator.
|
E764180
|
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: 100 Girls | Statement: [Eric Szmanda, appearedIn, 100 Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 100 Girls Context triple: [Eric Szmanda, appearedIn, 100 Girls]
-
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.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
C.
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.
-
D.
Most Girls
"Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
-
E.
Too Many Girls
Too Many Girls is a 1940 musical comedy film, based on the Rodgers and Hart stage musical, best known for featuring early performances by Lucille Ball and Desi Arnaz.
- 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: 100 Girls Triple: [Eric Szmanda, appearedIn, 100 Girls]
Generated description
100 Girls is a 2000 romantic comedy film that follows a college freshman's quest to find a mystery girl he met during a blackout in an elevator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 100 Girls Target entity description: 100 Girls is a 2000 romantic comedy film that follows a college freshman's quest to find a mystery girl he met during a blackout in an elevator.
-
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.
For the Girls
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
C.
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.
-
D.
Most Girls
"Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
-
E.
Too Many Girls
Too Many Girls is a 1940 musical comedy film, based on the Rodgers and Hart stage musical, best known for featuring early performances by Lucille Ball and Desi Arnaz.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.