Triple
T20585798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panama Hattie |
E505782
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ben Blue |
—
|
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: Ben Blue | Statement: [Panama Hattie, starring, Ben Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Blue Context triple: [Panama Hattie, starring, Ben Blue]
-
A.
Ben Blue
chosen
Ben Blue was a Canadian-born American comedian and character actor known for his expressive physical comedy and appearances in film and television from the 1930s through the 1960s.
-
B.
Sean Blue
Sean Blue is best known as the longtime partner of the late American character actor Michael Jeter.
-
C.
Danny Blue
Danny Blue is a charismatic and quick-witted con artist in the British television series "Hustle," known for his role in elaborate long cons and confidence tricks.
-
D.
David Blue
David Blue was an American folk singer-songwriter and actor associated with the 1960s Greenwich Village scene and the broader folk-rock movement.
-
E.
Benjamin Buford Blue
Benjamin Buford Blue is a fictional character from the film "Forrest Gump," known as Forrest's Army friend who dreams of starting a shrimping business.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a976bca4819086a4949e299159b5 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.