Triple
T19990425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivean Gray |
E494046
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vivean Gray |
—
|
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: Vivean Gray | Statement: [Vivean Gray, name, Vivean Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivean Gray Context triple: [Vivean Gray, name, Vivean Gray]
-
A.
Vivean Gray
chosen
Vivean Gray was an English-born Australian character actress best known for her roles in film and television, including the classic mystery drama "Picnic at Hanging Rock."
-
B.
Natascha McElhone
Natascha McElhone is a British actress known for her film roles in the late 1990s and 2000s, including prominent performances in movies like "The Truman Show" and "Ronin," as well as her work in television series such as "Californication."
-
C.
Lily Houghton
Lily Houghton is a fictional, adventurous British botanist and explorer from the film "Jungle Cruise."
-
D.
Dominique Swain
Dominique Swain is an American actress best known for her breakout role as the title character in the 1997 film adaptation of "Lolita" and for her work in various independent films.
-
E.
Emma Tennant
Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.