Triple
T1313333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Spencer |
E28043
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Spencer |
E28043
|
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: John Spencer | Statement: [John Spencer, name, John Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Spencer Context triple: [John Spencer, name, John Spencer]
-
A.
John Spencer
chosen
John Spencer was an American actor best known for his Emmy-winning role as White House Chief of Staff Leo McGarry on the television drama "The West Wing."
-
B.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
-
C.
Bill Durnan
Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
-
D.
Rory Kinnear
Rory Kinnear is an acclaimed English actor known for his work in film, television, and theatre, including roles in the James Bond franchise and the series "Penny Dreadful."
-
E.
Anson Mount
Anson Mount is an American actor best known for his leading roles in television dramas such as Hell on Wheels and Star Trek: Discovery/Strange New Worlds.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1585d3081909ca0221c23de63ba |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1594f94c8190bb6d3dc40534382e |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 7:55 p.m.