Triple
T22014465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hanging Garden |
E543671
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Kerry Fox |
—
|
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: Kerry Fox | Statement: [The Hanging Garden, starredActor, Kerry Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerry Fox Context triple: [The Hanging Garden, starredActor, Kerry Fox]
-
A.
Kerry Fox
chosen
Kerry Fox is a New Zealand actress known for her work in independent and art-house films, including notable roles in "An Angel at My Table" and "Shallow Grave."
-
B.
Kerry Norton
Kerry Norton is a British actress and singer best known for her recurring role as Layne Ishay on the reimagined television series "Battlestar Galactica."
-
C.
Kerry Johnson
Kerry Johnson is known as the spouse of the late American character actor and singer Michael Parks.
-
D.
Dana Fox
Dana Fox is an American screenwriter and producer known for her work on romantic comedies and major studio films, including co-writing Disney’s live-action film "Cruella."
-
E.
Kerry Bishé
Kerry Bishé is a New Zealand–born American actress best known for her roles in the film "Argo" and the television series "Halt and Catch Fire."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a6bf6081909865781ea7937a1b |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.