Triple
T15312576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thomas Teller |
E366073
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Nicholas Guest |
E366074
|
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: Nicholas Guest | Statement: [John Thomas Teller, portrayedBy, Nicholas Guest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Guest Context triple: [John Thomas Teller, portrayedBy, Nicholas Guest]
-
A.
Nicholas Guest
chosen
Nicholas Guest is an American character actor known for his extensive work in film, television, and voice acting since the late 1970s.
-
B.
Stephen Guest
Stephen Guest is a charming yet morally conflicted young man in George Eliot’s novel "The Mill on the Floss," whose romantic entanglement with Maggie Tulliver drives much of the story’s emotional tension.
-
C.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
D.
Nicholas Ford
Nicholas Ford is a member of the Ford family, the son of Michael Gerald Ford and a grandson of former U.S. President Gerald R. Ford.
-
E.
Nicholas Jones
Nicholas Jones is a British actor known for his extensive work in film, television, and theatre.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.