Triple
T14167824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Joan |
E351125
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Tom Hughes |
E709202
|
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: Tom Hughes | Statement: [Red Joan, star, Tom Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hughes Context triple: [Red Joan, star, Tom Hughes]
-
A.
Tom Hughes
Tom Hughes was an early 20th-century Major League Baseball pitcher best known for his standout season with the Boston Americans in 1903.
-
B.
Tom Hughes
chosen
Tom Hughes is a British actor known for his roles in film and television, including period dramas and contemporary comedies.
-
C.
Ron Hutchinson
Ron Hutchinson is a Northern Irish playwright and screenwriter known for his work in film and television, including adaptations and genre projects in Hollywood.
-
D.
Bob Scott
Bob Scott was an Australian rules football field umpire best known for officiating the 1934 Victorian Football League Grand Final.
-
E.
Harry Bright
Harry Bright is one of the three possible fathers and central adult characters in the musical and film "Mamma Mia!", known for his reserved, uptight demeanor that contrasts with the story’s exuberant Greek-island setting.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0711688190ab8e90f403082d7a |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 1 a.m.