Triple
T23562741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the Girls |
E579285
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | For the Girls |
—
|
NE NERFINISHED |
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: For the Girls | Statement: [For the Girls, hasPart, For the Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For the Girls Context triple: [For the Girls, hasPart, For the Girls]
-
A.
For the Girls
chosen
For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
-
B.
These Girls
"These Girls" is a song by American singer-songwriter Ryan Adams from his 2007 album *Easy Tiger*.
-
C.
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.
-
D.
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.
-
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 (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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:25 p.m.