Triple
T10325754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girlboss |
E242756
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | #GIRLBOSS |
E242756
|
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: #GIRLBOSS | Statement: [Girlboss, basedOn, #GIRLBOSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: #GIRLBOSS Context triple: [Girlboss, basedOn, #GIRLBOSS]
-
A.
Girlboss
chosen
Girlboss is a Netflix comedy-drama series loosely based on the life and business journey of Nasty Gal founder Sophia Amoruso.
-
B.
She's the Boss
"She's the Boss" is Mick Jagger's debut solo studio album, released in 1985 and showcasing his work outside of The Rolling Stones.
-
C.
Like a Boss
"Like a Boss" is a popular comedic rap song and digital short by The Lonely Island that parodies corporate culture through absurd, escalating scenarios.
-
D.
Lady Boss
Lady Boss is a bestselling novel by Jackie Collins that continues her glamorous, scandal-filled tales of power, sex, and intrigue in Hollywood.
-
E.
Support the Girls
Support the Girls is a 2018 indie comedy-drama film that follows the overworked manager of a roadside sports bar as she navigates a chaotic day supporting her staff and customers.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.