Triple
T20469789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey Paris |
E502159
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Leland Palmer |
—
|
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: Leland Palmer | Statement: [Audrey Paris, portrayedBy, Leland Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leland Palmer Context triple: [Audrey Paris, portrayedBy, Leland Palmer]
-
A.
Leland Palmer
chosen
Leland Palmer is an American actress, singer, and dancer best known for her work in musical theatre and film during the 1960s and 1970s.
-
B.
Leland Palmer
Leland Palmer is a central character in the television series "Twin Peaks," known as Laura Palmer’s troubled father whose unraveling psyche and dark secrets drive much of the show’s mystery and horror.
-
C.
Leland Patton
Leland Patton is a theatre professional best known as a founder of the Crossroads Theatre Company, a prominent African-American theater organization.
-
D.
Leland McKenzie
Leland McKenzie is a senior partner and authoritative yet principled lawyer at the fictional Los Angeles law firm in the television series "L.A. Law."
-
E.
Charles Noland
Charles Noland is an American actor known for his character roles in film, television, and theater.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995f753081909bbe03f7c251d9c1 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.