Triple
T12311586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorris Bowdon |
E293490
|
entity |
| Predicate | appearedInFilm |
P795
|
FINISHED |
| Object | Too Many Girls |
E570702
|
NE FINISHED |
How this triple was built (2 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: Too Many Girls | Statement: [Dorris Bowdon, appearedInFilm, Too Many Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Many Girls Context triple: [Dorris Bowdon, appearedInFilm, Too Many Girls]
-
A.
Too Many Girls
chosen
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.
-
B.
This One's for the Girls
"This One's for the Girls" is a popular country song by Martina McBride that celebrates and empowers women at different stages of life.
-
C.
Most Girls
"Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
-
D.
Girls Want Girls
"Girls Want Girls" is a popular hip-hop/R&B track best known as a Drake song featuring Lil Baby, noted for its melodic delivery and controversial, flirtatious lyrics.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.