Triple
T18285580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Money |
E437972
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Wendy Wasserstein |
—
|
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: Wendy Wasserstein | Statement: [Old Money, writer, Wendy Wasserstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Wasserstein Context triple: [Old Money, writer, Wendy Wasserstein]
-
A.
Wendy Wasserstein
chosen
Wendy Wasserstein was a Pulitzer Prize–winning American playwright known for her witty, feminist explorations of contemporary women's lives in works such as "The Heidi Chronicles."
-
B.
Alix Kates Shulman
Alix Kates Shulman is an American feminist writer and activist best known for her novel "Memoirs of an Ex-Prom Queen" and her contributions to second-wave feminism.
-
C.
Delia Ephron
Delia Ephron is an American screenwriter, novelist, and playwright known for her collaborations with her sister Nora Ephron on popular films such as "You've Got Mail."
-
D.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
E.
Joanne Siegel
Joanne Siegel was an American model and the inspiration for Lois Lane, later becoming the wife of Superman co-creator Jerry Siegel and an advocate for creators’ rights.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fa2f308190a4744a4ed630b8d9 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.