Triple
T20039279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Jones Sr. |
E497366
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bob Jones Sr. |
—
|
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: Bob Jones Sr. | Statement: [Bob Jones Sr., name, Bob Jones Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Jones Sr. Context triple: [Bob Jones Sr., name, Bob Jones Sr.]
-
A.
Bob Jones Sr.
chosen
Bob Jones Sr. was an American evangelist and religious leader best known as the fundamentalist founder of Bob Jones University.
-
B.
David A. Jones Sr.
David A. Jones Sr. was an American entrepreneur best known as the co-founder and longtime leader of the health insurance company Humana.
-
C.
B.J. Jones
B.J. Jones is a fictional character from the soap opera "General Hospital," known as the daughter of Bobbie Spencer.
-
D.
Fred Jones
Fred Jones is the confident, blond leader of the Mystery Inc. gang in the Scooby-Doo franchise, known for his trap-making skills and teamwork with Scooby and the others.
-
E.
Bill Jones
Bill Jones is a film producer and director best known for his work on projects related to the British comedy group Monty Python.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.