Triple
T20209099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey |
E493438
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Audrey Niffenegger |
—
|
NE NERFINISHED |
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: Audrey Niffenegger | Statement: [Audrey, hasNotableBearer, Audrey Niffenegger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audrey Niffenegger Context triple: [Audrey, hasNotableBearer, Audrey Niffenegger]
-
A.
Audrey Niffenegger
chosen
Audrey Niffenegger is an American writer and artist best known for her bestselling time-travel romance novel "The Time Traveler’s Wife."
-
B.
Karen Joy Fowler
Karen Joy Fowler is an American author known for her genre-blending fiction, including the novel "We Are All Completely Beside Ourselves" and the short story collection "Black Glass."
-
C.
Beth Winters
Beth Winters is a fictional character from the 2012 ensemble drama-comedy film "Darling Companion."
-
D.
Emily M. Danforth
Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
-
E.
Rebecca Gilman
Rebecca Gilman is an American playwright known for her socially conscious dramas that tackle issues such as class, race, and gender, including works like "Spinning into Butter" and "Boy Gets Girl."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d94999c8190b67051cb0acea213 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.