Triple
T6714597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Maud Vivian |
E153234
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vivian
Vivian is an English surname historically associated with British nobility and notable figures in politics, the military, and the arts.
|
E613242
|
NE FINISHED |
How this triple was built (4 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: Vivian | Statement: [Dorothy Maud Vivian, familyName, Vivian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivian Context triple: [Dorothy Maud Vivian, familyName, Vivian]
-
A.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
B.
Vivica
Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
-
C.
Vivian Ward
Vivian Ward is the charismatic Hollywood prostitute-turned-love-interest famously played by Julia Roberts in the 1990 romantic comedy film "Pretty Woman."
-
D.
Vivien
Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
-
E.
Vicki
Vicki is a young companion of the First Doctor in the classic British science fiction television series Doctor Who.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vivian Triple: [Dorothy Maud Vivian, familyName, Vivian]
Generated description
Vivian is an English surname historically associated with British nobility and notable figures in politics, the military, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vivian Target entity description: Vivian is an English surname historically associated with British nobility and notable figures in politics, the military, and the arts.
-
A.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
B.
Vivica
Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
-
C.
Vivian Ward
Vivian Ward is the charismatic Hollywood prostitute-turned-love-interest famously played by Julia Roberts in the 1990 romantic comedy film "Pretty Woman."
-
D.
Vivien
Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
-
E.
Vicki
Vicki is a young companion of the First Doctor in the classic British science fiction television series Doctor Who.
- F. None of above. chosen
Provenance (5 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70096e05c8190abfa90996db37eeb |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c701fa048c819091585d2bd4afe06a |
completed | March 27, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7028710788190b054c7cfd28a6812 |
completed | March 27, 2026, 10:19 p.m. |
Created at: March 27, 2026, 2:07 p.m.