Triple
T14363246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Cannon |
E356155
|
entity |
| Predicate | workedOn |
P3
|
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: [Kay Cannon, workedOn, Girlboss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girlboss Context triple: [Kay Cannon, workedOn, 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.
Girl Up
Girl Up is a global leadership development initiative that empowers adolescent girls and young women to advocate for gender equality and social change.
-
C.
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.
-
D.
Girl Crush
"Girl Crush" is a widely acclaimed country ballad by Little Big Town that gained significant attention for its provocative lyrics and emotional vocal performance.
-
E.
Like a Boss
Like a Boss is a 2020 American comedy film about two best friends running a beauty company whose friendship and business are tested when they partner with a ruthless cosmetics mogul.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4cb0c4819094d59b4b1d43588b |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.