Triple
T9078403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Finerman |
E217547
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wendy Finerman |
E217547
|
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: Wendy Finerman | Statement: [Wendy Finerman, name, Wendy Finerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Finerman Context triple: [Wendy Finerman, name, Wendy Finerman]
-
A.
Wendy Finerman
chosen
Wendy Finerman is an American film producer best known for her work on hit movies such as "Forrest Gump" and "The Devil Wears Prada."
-
B.
Wendy Steiner
Wendy Steiner is an American literary critic and scholar known for her influential work on aesthetics, modernism, and the relationship between visual art and literature.
-
C.
Rachel Taub
Rachel Taub is a fictional character from the medical drama series "House," known as the wife of Dr. Chris Taub.
-
D.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
E.
Wendy Neuss
Wendy Neuss is an American television producer best known for her work on Star Trek-related projects and for her past marriage to actor Patrick Stewart.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1610abbec81908743c1ef20fb39d4 |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 7:12 p.m.