Triple
T19949725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive Liberal Party |
E479521
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Philip Davis |
—
|
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: Philip Davis | Statement: [Progressive Liberal Party, notableMember, Philip Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Davis Context triple: [Progressive Liberal Party, notableMember, Philip Davis]
-
A.
Philip Davis
Philip Davis is a British actor known for his extensive work in film, television, and theatre, often portraying gritty, working-class characters.
-
B.
Philip Davis
chosen
Philip Davis is a Bahamian politician and attorney who has served as the country’s prime minister and leader of the Progressive Liberal Party.
-
C.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
D.
Will Davies
Will Davies is a British screenwriter and film producer known for his work on popular family and animated films, including co-writing the story for "Puss in Boots."
-
E.
Anthony Dawson
Anthony Dawson was a British character actor best known for his roles in mid-20th-century films, including notable appearances in early James Bond movies and various horror productions.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6a93548190875af2176e6901a7 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.