Triple
T15630613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Jordan |
E375800
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Leslie Bibb |
E376694
|
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: Leslie Bibb | Statement: [Crossing Jordan, starring, Leslie Bibb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Bibb Context triple: [Crossing Jordan, starring, Leslie Bibb]
-
A.
Leslie Bibb
chosen
Leslie Bibb is an American actress and model known for her comedic and dramatic roles in film and television, including prominent parts in movies like "Iron Man" and series such as "Popular."
-
B.
Samantha Womack
Samantha Womack is a British actress and singer best known for her long-running role as Ronnie Mitchell in the BBC soap opera EastEnders.
-
C.
Leslie Lewis
Leslie Lewis is the daughter of pioneering African-American businessman and philanthropist Reginald F. Lewis.
-
D.
Ruthie Ann Miles
Ruthie Ann Miles is a Tony Award–winning American actress and singer known for her work in musical theatre, television, and film.
-
E.
Sandra Harmon
Sandra Harmon is an American writer and collaborator known for co-authoring books with high-profile figures, including Priscilla Presley.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.