Triple
T15908843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Bees and Wannabes |
E385793
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Rosalind Wiseman |
E385794
|
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: Rosalind Wiseman | Statement: [Queen Bees and Wannabes, author, Rosalind Wiseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosalind Wiseman Context triple: [Queen Bees and Wannabes, author, Rosalind Wiseman]
-
A.
Rosalind Wiseman
chosen
Rosalind Wiseman is an American writer and educator best known for her book "Queen Bees & Wannabes," which inspired the film "Mean Girls" and focuses on adolescent social dynamics and bullying.
-
B.
Meg Cabot
Meg Cabot is an American author best known for her popular young adult novels, particularly the bestselling "The Princess Diaries" series.
-
C.
Maureen Johnson
Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
-
D.
Lisa Davidowitz
Lisa Davidowitz is a screenwriter best known for her work on the film "Uptown Girls."
-
E.
Samantha Bloom
Samantha Bloom is the sister of English actor Orlando Bloom.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.