Triple
T10414656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillipa Soo |
E245484
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Phillipa Soo |
E245484
|
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: Phillipa Soo | Statement: [Phillipa Soo, name, Phillipa Soo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phillipa Soo Context triple: [Phillipa Soo, name, Phillipa Soo]
-
A.
Phillipa Soo
chosen
Phillipa Soo is an American actress and singer best known for originating the role of Eliza Schuyler Hamilton in the Broadway musical "Hamilton."
-
B.
Kiri Pritchard-McLean
Kiri Pritchard-McLean is a Welsh stand-up comedian, writer, and director known for her sharp, socially conscious comedy and work on shows such as the true-crime podcast "All Killa No Filla."
-
C.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
D.
Natalie de Blois
Natalie de Blois was a pioneering American architect and influential modernist designer who played a key role in shaping mid-20th-century corporate architecture.
-
E.
Simone Kirby
Simone Kirby is an Irish actress known for her work in film and television, including prominent roles in series such as His Dark Materials.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0f7d188190a60a7c3832c51515 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc043074819083d219ec1c40f931 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.