Triple
T4422903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Court Jester |
E95142
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Al Clark |
E434944
|
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: Al Clark | Statement: [The Court Jester, editedBy, Al Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Clark Context triple: [The Court Jester, editedBy, Al Clark]
-
A.
Al Clark
chosen
Al Clark was an American film editor best known for his work on classic Hollywood films, including the 1939 political drama "Mr. Smith Goes to Washington."
-
B.
Carroll Clark
Carroll Clark was a prominent Hollywood art director and production designer known for his influential work on classic films of the 1930s and 1940s.
-
C.
William P. Clark Jr.
William P. Clark Jr. was an American judge and close adviser to President Ronald Reagan who served as U.S. National Security Advisor and later Secretary of the Interior in the 1980s.
-
D.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
-
E.
Clayton Townsend
Clayton Townsend is a film producer known for his work on major Hollywood comedies and dramas, including the hit movie "Bridesmaids."
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554b36a48190a475ac5474bed132 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62bbee48190bae8fc7b9cc29086 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.