Triple
T17716499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Shot Andy Warhol |
E442212
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Martha Plimpton |
—
|
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: Martha Plimpton | Statement: [I Shot Andy Warhol, stars, Martha Plimpton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Plimpton Context triple: [I Shot Andy Warhol, stars, Martha Plimpton]
-
A.
Martha Plimpton
chosen
Martha Plimpton is an American actress and singer known for her work in film, television, and theater, including roles in "The Goonies," "Raising Hope," and numerous acclaimed stage productions.
-
B.
Martha Pattridge
Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
-
C.
Marcella Niehoff
Marcella Niehoff was a pioneering American nurse and educator whose legacy in advancing nursing education is commemorated by the nursing school that bears her name.
-
D.
Marianne Patterson
Marianne Patterson was an American socialite of the early 19th century, known for her brief and controversial marriage into British aristocracy.
-
E.
Martha Sherman
Martha Sherman was the wife of Jeremiah Day, the long-serving president of Yale College in the early 19th century.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47480955481908fa0d3d34aaedd48 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.