Triple
T16698329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Shot |
E405776
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | John Ridgely |
E396525
|
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 Ridgely | Statement: [The Big Shot, hasCastMember, John Ridgely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ridgely Context triple: [The Big Shot, hasCastMember, John Ridgely]
-
A.
John Ridgely
chosen
John Ridgely was an American character actor of the 1930s and 1940s, known for his supporting roles in numerous Hollywood films, particularly crime dramas and film noirs.
-
B.
Robert Ridgely
Robert Ridgely was an American character actor and voice artist known for his work in films, television, and animation from the 1960s through the 1990s.
-
C.
Nicholas Fitzhugh
Nicholas Fitzhugh was an early 19th-century American jurist who served as a judge on the Circuit Court of the District of Columbia.
-
D.
Richard Bellingham
Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
-
E.
Humphrey Barclay
Humphrey Barclay is a British television producer and comedy executive known for his influential work on popular UK comedy and entertainment shows.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.