Triple
T11994891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Disorderly Orderly |
E285503
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Jones |
E456159
|
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: Paul Jones | Statement: [The Disorderly Orderly, producer, Paul Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Jones Context triple: [The Disorderly Orderly, producer, Paul Jones]
-
A.
Paul Jones
chosen
Paul Jones was a film producer best known for his work on classic Hollywood comedies, including several Bing Crosby and Bob Hope "Road to..." films.
-
B.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
C.
Eric Jones
Eric Jones is a fictional character from the novel "Another Country" by James Baldwin.
-
D.
Pat Jones
Pat Jones is an American football coach best known for his long tenure as head coach at Oklahoma State University during the 1980s and early 1990s.
-
E.
Dick Jones
Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47273e1088190b899071baff1375a |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.