Triple
T13657056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Light Between Oceans |
E326887
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Emily Barclay |
E1067121
|
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: Emily Barclay | Statement: [The Light Between Oceans, castMember, Emily Barclay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Barclay Context triple: [The Light Between Oceans, castMember, Emily Barclay]
-
A.
Emily Barclay
chosen
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
B.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
C.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
D.
Claire Jennings
Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
-
E.
Lisa Bryer
Lisa Bryer is a British film producer best known for her work on acclaimed independent films, including the award-winning drama "The Last King of Scotland."
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.