Triple
T10935501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch |
E258321
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Vivienne Graham |
E792809
|
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 Graham | Statement: [Monarch, notableMember, Vivienne Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivienne Graham Context triple: [Monarch, notableMember, Vivienne Graham]
-
A.
Vivienne Graham
chosen
Vivienne Graham is a Monarch scientist in the MonsterVerse franchise who specializes in studying giant monsters like Godzilla.
-
B.
Vivienne Faull
Vivienne Faull is a senior Church of England bishop who has held prominent leadership roles, including serving as the diocesan bishop in Bristol.
-
C.
Vivienne Eytle
Vivienne Eytle is an actress known for her role in the television film "The Josephine Baker Story."
-
D.
Vivienne Haigh-Wood
Vivienne Haigh-Wood was an English governess and writer best known as the first wife of poet T. S. Eliot and for her troubled marriage that significantly influenced his life and work.
-
E.
Mary Garrard
Mary Garrard is an American art historian and feminist scholar best known for her influential work on women artists such as Artemisia Gentileschi and for advancing feminist perspectives in art history.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.