Triple
T14691375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily the Criminal |
E345042
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | John Patton Ford |
E1114321
|
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: John Patton Ford | Statement: [Emily the Criminal, writer, John Patton Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Patton Ford Context triple: [Emily the Criminal, writer, John Patton Ford]
-
A.
John Patton Ford
chosen
John Patton Ford is an American filmmaker best known for writing and directing the crime thriller film "Emily the Criminal."
-
B.
Robert Newton Ford
Robert Newton Ford was an American outlaw best known for killing Jesse James, an act that made him infamous in the history of the Old West.
-
C.
Frank Ford
Frank Ford is a relatively obscure individual whose specific notability is unclear from the given information alone.
-
D.
James Sawyer Ford
James "Sawyer" Ford is a central character on the television series "Lost," known as a complex, sharp-tongued con man with a troubled past and evolving moral compass.
-
E.
John Gardner Ford
John Gardner Ford is the son of former U.S. President Gerald Ford and First Lady Betty Ford, known as a member of the Ford family.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.