Triple
T19532809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boss (TV series) |
E488695
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Emma Kane |
—
|
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: Emma Kane | Statement: [Boss (TV series), character, Emma Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Kane Context triple: [Boss (TV series), character, Emma Kane]
-
A.
Emma Kane
chosen
Emma Kane is the daughter of Tom Kane, the powerful and ailing mayor at the center of the television series "Boss."
-
B.
Chelsea Kane
Chelsea Kane is an American actress and singer best known for her roles on Disney Channel series such as "Jonas" and "Baby Daddy."
-
C.
Daphne Keen
Daphne Keen is a British-Spanish actress best known for her breakout role as Laura/X-23 in the film "Logan" and as Lyra Belacqua in the television series "His Dark Materials."
-
D.
Natasha Kingsley
Natasha Kingsley is the thoughtful, science-minded teenage heroine of the romantic drama "The Sun Is Also a Star," who grapples with questions of fate, family, and identity over the course of a single transformative day in New York City.
-
E.
Gemma Craven
Gemma Craven is an Irish-born actress and singer best known for her work in musical theatre and film, including her acclaimed performances on the West End.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.