Triple
T20659385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo F. Drummond |
E507715
|
entity |
| Predicate | adversary |
P18963
|
FINISHED |
| Object | Rudy Baylor |
—
|
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: Rudy Baylor | Statement: [Leo F. Drummond, adversary, Rudy Baylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Baylor Context triple: [Leo F. Drummond, adversary, Rudy Baylor]
-
A.
Rudy Baylor
chosen
Rudy Baylor is the idealistic young law school graduate who serves as the protagonist in John Grisham’s legal thriller "The Rainmaker."
-
B.
Reggie Burnett
Reggie Burnett is a fictional character in the "Bad Boys" film series, depicted as the son of Miami detective Marcus Burnett.
-
C.
Alonzo Cantu
Alonzo Cantu is a prominent South Texas businessman and real estate developer known for his influential role in Rio Grande Valley sports and community development.
-
D.
Calvin Jarrett
Calvin Jarrett is a central character in the film "Ordinary People," depicted as a conflicted suburban father struggling to hold his family together after a tragic loss.
-
E.
Langston Galloway
Langston Galloway is an American professional basketball player and sharpshooting guard who has played in the NBA and overseas after a standout college career at Saint Joseph’s University.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.