Triple
T10453515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Star |
E246491
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Kerry Fox |
E127071
|
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: Kerry Fox | Statement: [Bright Star, starred, Kerry Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerry Fox Context triple: [Bright Star, starred, 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.
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."
-
C.
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."
-
D.
Kerry Stokes
Kerry Stokes is an Australian billionaire businessman and media mogul best known for building a diverse empire spanning television, mining, and construction.
-
E.
Leigh Curran
Leigh Curran is an American actress and writer known for her work in theater, film, and television, as well as for founding the nonprofit theater company The Virginia Avenue Project.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0d73d48190acb687b96918e0cf |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.