Triple
T6100603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Hardy’s Children |
E135983
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jack J. Cohn |
E213509
|
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: Jack J. Cohn | Statement: [Judge Hardy’s Children, producer, Jack J. Cohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack J. Cohn Context triple: [Judge Hardy’s Children, producer, Jack J. Cohn]
-
A.
Jack Cohn
chosen
Jack Cohn was an American film executive and producer who co-founded Columbia Pictures and helped shape the early Hollywood studio system.
-
B.
Philip J. Cohen
Philip J. Cohen was one of the merchants involved in the landmark 1821 U.S. Supreme Court case Cohens v. Virginia, which helped define the Court’s authority to review state court decisions.
-
C.
Milton S. Cohen
Milton S. Cohen was the husband of American character actress Eleanor Audley, known for her distinctive voice roles in classic Disney films.
-
D.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
E.
Milton J. Rubenstein
Milton J. Rubenstein was a philanthropist and prominent supporter of science and technology education, for whom the Museum of Science and Technology in Syracuse, New York is named.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
Created at: March 22, 2026, 4:13 p.m.