Triple
T7917187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Jordan |
E183856
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bob Jordan |
E183856
|
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: Bob Jordan | Statement: [Bob Jordan, name, Bob Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Jordan Context triple: [Bob Jordan, name, Bob Jordan]
-
A.
Bob Jordan
chosen
Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
-
B.
Don Galloway
Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
-
C.
Jack McFarland
Jack McFarland is a flamboyant, aspiring actor and Will Truman’s exuberant best friend on the sitcom "Will & Grace," known for his over-the-top personality and comedic antics.
-
D.
Bob Hilliard
Bob Hilliard was an American lyricist known for writing popular songs for films and Broadway during the mid-20th century.
-
E.
Leo Proudhammer
Leo Proudhammer is the introspective African American actor and narrator at the center of James Baldwin’s novel "Tell Me How Long the Train’s Been Gone," through whom themes of race, sexuality, and artistic identity are explored.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8e8b388190b5544eb5b8159e07 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be9e6548190a01d2e6db8dc4864 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:05 p.m.