Triple
T19802599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Troughton |
E475721
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Troughton |
—
|
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: Troughton | Statement: [Sam Troughton, familyName, Troughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troughton Context triple: [Sam Troughton, familyName, Troughton]
-
A.
Troughton
chosen
Troughton is a British surname most notably associated with actor Patrick Troughton, who played the Second Doctor in the long-running television series Doctor Who.
-
B.
Stockingford
Stockingford is a residential suburb and former village within the town of Nuneaton in Warwickshire, England.
-
C.
Gambon
Gambon is the surname of Sir Michael Gambon, the acclaimed Irish-English actor best known for portraying Albus Dumbledore in the Harry Potter film series.
-
D.
Wycherly
Wycherly is the surname of Margaret Wycherly, an English-born stage and film actress known for her character roles in early 20th-century American cinema.
-
E.
Tennant
Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.