Triple
T15880553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Chiquita |
E385063
|
entity |
| Predicate | nameElement |
P27866
|
FINISHED |
| Object | Miss |
E335280
|
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: Miss | Statement: [Miss Chiquita, nameElement, Miss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Context triple: [Miss Chiquita, nameElement, Miss]
-
A.
Miss
chosen
Miss is a traditional English honorific used before the surname or full name of an unmarried or younger woman.
-
B.
Miss Jane
Miss Jane is the former stage name of Ghanaian singer and songwriter Efya, known for her soulful Afrobeat and neo-soul music.
-
C.
Miss Scarlett
Miss Scarlett is a glamorous, cunning socialite character from the Cluedo/Clue mystery franchise, often portrayed as a prime suspect in the game's iconic whodunit murders.
-
D.
Miss Tina
Miss Tina is a central character in Dominick Argento’s opera "The Aspern Papers," adapted from Henry James’s novella, where she is portrayed as the reclusive niece entangled in the mystery surrounding the poet Aspern’s papers.
-
E.
Missi
Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15600863c8190a2dbfd6d7ff495d7 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.