Triple
T20688734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Miser's Heart |
E508492
|
entity |
| Predicate | hasActor |
P1668
|
FINISHED |
| Object | Joseph Graybill |
—
|
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: Joseph Graybill | Statement: [The Miser's Heart, hasActor, Joseph Graybill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Graybill Context triple: [The Miser's Heart, hasActor, Joseph Graybill]
-
A.
Joseph Graybill
chosen
Joseph Graybill was an early 20th-century American silent film actor who appeared in several D. W. Griffith productions.
-
B.
James P. Snee
James P. Snee is an American business executive best known as the chairman, president, and chief executive officer of Hormel Foods Corporation.
-
C.
J. Hoenig
J. Hoenig was an English translator known for his work on the influential psychiatric text "General Psychopathology."
-
D.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
-
E.
Morris L. Eaton
Morris L. Eaton is an American statistician known for his contributions to multivariate analysis and decision theory, and for his influential work as a student of Emanuel Parzen.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.