Triple
T20427192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Countess |
E501035
|
entity |
| Predicate | artDirector |
P7743
|
FINISHED |
| Object | Andrew Sanders |
—
|
NE NERFINISHED |
How this triple was built (3 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: Andrew Sanders | Statement: [The White Countess, artDirector, Andrew Sanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Sanders Context triple: [The White Countess, artDirector, Andrew Sanders]
-
A.
Michael Brandon
Michael Brandon is an American actor known for his work in film and television, including roles in "Dempsey and Makepeace" and "Four Flies on Grey Velvet."
-
B.
Kristopher Lythgoe
Kristopher Lythgoe is a British television producer and writer known for creating and producing modern pantomime adaptations and other family-oriented stage productions.
-
C.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
-
D.
Hal Courtney
Hal Courtney is a fictional 17th-century seafarer and adventurer who serves as the central hero of Wilbur Smith’s historical novel series, including "Monsoon."
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Sanders Target entity description: Andrew Sanders is a film art director known for his production design work on movies such as "The White Countess."
-
A.
Michael Brandon
Michael Brandon is an American actor known for his work in film and television, including roles in "Dempsey and Makepeace" and "Four Flies on Grey Velvet."
-
B.
Kristopher Lythgoe
Kristopher Lythgoe is a British television producer and writer known for creating and producing modern pantomime adaptations and other family-oriented stage productions.
-
C.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
-
D.
Hal Courtney
Hal Courtney is a fictional 17th-century seafarer and adventurer who serves as the central hero of Wilbur Smith’s historical novel series, including "Monsoon."
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- F. None of above. chosen
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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.