Triple
T15617044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivienne Segal |
E375442
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vivienne |
E936384
|
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: Vivienne | Statement: [Vivienne Segal, givenName, Vivienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivienne Context triple: [Vivienne Segal, givenName, Vivienne]
-
A.
Vivienne
Vivienne was a British writer and socialite best known as the first wife of poet T. S. Eliot and a central, troubled figure in his life and work.
-
B.
Vivienne
Vivienne is the given first name of Patti Scialfa, the American singer-songwriter and member of Bruce Springsteen's E Street Band.
-
C.
Vivienne
Vivienne is one of Angelina Jolie and Brad Pitt’s twin children, known publicly as Vivienne Marcheline Jolie-Pitt.
-
D.
Vivienne
chosen
Vivienne is a feminine given name of French origin, derived from the Latin "Vivianus" meaning "alive" or "lively."
-
E.
Vivienne Vyle
Vivienne Vyle is the fictional, sensationalist talk-show host at the center of the British dark comedy series "The Life and Times of Vivienne Vyle."
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56dd1e4c819090bf3cd4425b39b7 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.