Triple
T6521246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Handful of Dust |
E151186
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Brenda Last |
E601432
|
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: Brenda Last | Statement: [A Handful of Dust, hasCharacter, Brenda Last]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Last Context triple: [A Handful of Dust, hasCharacter, Brenda Last]
-
A.
Brenda Last
chosen
Brenda Last is a central character in Evelyn Waugh's novel "A Handful of Dust," known for her role in the disintegration of an upper-class English marriage.
-
B.
Brenda Joyce
Brenda Joyce was an American film actress best known for her roles in 1930s and 1940s Hollywood productions, including several Tarzan films.
-
C.
Brenda Wright
Brenda Wright is known as the former wife of Australian comedian and satirist Barry Humphries.
-
D.
Brenda Walsh
Brenda Walsh is a central teenage character from the 1990s television drama "Beverly Hills, 90210," known for her complex relationships, family dynamics, and coming-of-age storylines.
-
E.
Brenda Vaccaro
Brenda Vaccaro is an American actress known for her distinctive husky voice and acclaimed performances in film, television, and theater since the 1960s.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d51da9148190a82ff0885fd6548d |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.