Triple
T22803368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Capture |
E564462
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Lia Williams |
—
|
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: Lia Williams | Statement: [The Capture, castMember, Lia Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lia Williams Context triple: [The Capture, castMember, Lia Williams]
-
A.
Lia Williams
chosen
Lia Williams is a British actress and director known for her work in film, television, and theatre, including acclaimed performances in productions such as "The Crown" and "The Foreigner."
-
B.
Nicola Walker
Nicola Walker is a British actress acclaimed for her nuanced performances in television dramas such as "Unforgotten," "Spooks," and "Last Tango in Halifax."
-
C.
Alison Pill
Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
-
D.
Laura Penn
Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
-
E.
Jen Badgley
Jen Badgley is known as the sister of American actor and musician Penn Badgley.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.