Triple
T12657644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John G. Avildsen |
E302326
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Okay Bill |
E302326
|
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: Okay Bill | Statement: [John G. Avildsen, notableWork, Okay Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okay Bill Context triple: [John G. Avildsen, notableWork, Okay Bill]
-
A.
Okay Bill
chosen
Okay Bill is a lesser-known film directed by Academy Award–winning filmmaker John G. Avildsen.
-
B.
Don't Mess with Bill
"Don't Mess with Bill" is a 1965 Motown soul single by The Marvelettes, written by Smokey Robinson and known for its smooth groove and assertive romantic lyrics.
-
C.
The Joe
The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
-
D.
Elwood Blues
Elwood Blues is a fictional harmonica-playing musician and one half of the comedic rhythm and blues duo The Blues Brothers, famously portrayed by Dan Aykroyd.
-
E.
Miss Billy
Miss Billy is a 1911 sentimental novel by American author Eleanor H. Porter, best known for its lighthearted romance and domestic drama.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.