Triple
T6629661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Sachs |
E149889
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Lauren Weisberger |
E126628
|
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: Lauren Weisberger | Statement: [Andrea Sachs, createdBy, Lauren Weisberger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Weisberger Context triple: [Andrea Sachs, createdBy, Lauren Weisberger]
-
A.
Lauren Weisberger
chosen
Lauren Weisberger is an American novelist best known for writing the bestselling fashion-world satire "The Devil Wears Prada," which was adapted into a popular film.
-
B.
Sarah Neufeld
Sarah Neufeld is a Canadian violinist and composer best known for her work with the indie rock band Arcade Fire and her experimental solo and collaborative projects.
-
C.
Candace Bushnell
Candace Bushnell is an American author and columnist best known for writing the book "Sex and the City," which inspired the iconic television series.
-
D.
Susan Schwab
Susan Schwab is an American trade policy expert and former United States Trade Representative who served under President George W. Bush.
-
E.
Lauren Neustadter
Lauren Neustadter is a film and television producer known for her work on high-profile projects including the series "Little Fires Everywhere."
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa5c9b48190b645be96d446d0ca |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbeb04348190957b8e5f098b72bf |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.