Triple
T2116924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bridges of Madison County |
E43829
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Joel Cox |
E220404
|
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: Joel Cox | Statement: [The Bridges of Madison County, editedBy, Joel Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Cox Context triple: [The Bridges of Madison County, editedBy, Joel Cox]
-
A.
Joel Cox
chosen
Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
-
B.
Josh James
Josh James is an American entrepreneur best known as the co-founder and former CEO of web analytics company Omniture.
-
C.
Shane Hurlbut
Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
-
D.
Jesse Andrews
Jesse Andrews is an American novelist and screenwriter best known for writing the young adult novel "Me and Earl and the Dying Girl" and co-writing its film adaptation.
-
E.
Joel Allen
Joel Allen is an American actor best known for his starring role in the television adaptation of the horror franchise "The Purge."
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb2f6f608190937889bb393fe7c6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5194abec8190aab8b7a9ef98da92 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.