Triple
T9009226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Blum |
E215424
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Irwin M. Blum
Irwin M. Blum is the father of American film and television producer Jason Blum.
|
E833249
|
NE FINISHED |
How this triple was built (4 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: Irwin M. Blum | Statement: [Jason Blum, parent, Irwin M. Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irwin M. Blum Context triple: [Jason Blum, parent, Irwin M. Blum]
-
A.
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.
-
B.
Frank E. Seidman
Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
-
C.
Stanley Rosenblum
Stanley Rosenblum was a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky II."
-
D.
Louis J. Lefkowitz
Louis J. Lefkowitz was a prominent New York politician and lawyer best known for his long tenure as New York State Attorney General in the mid-20th century.
-
E.
Edwin Blum
Edwin Blum was an American screenwriter known for his work on classic Hollywood films, including contributions to notable adaptations and dramas in the mid-20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Irwin M. Blum Triple: [Jason Blum, parent, Irwin M. Blum]
Generated description
Irwin M. Blum is the father of American film and television producer Jason Blum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irwin M. Blum Target entity description: Irwin M. Blum is the father of American film and television producer Jason Blum.
-
A.
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.
-
B.
Frank E. Seidman
Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
-
C.
Stanley Rosenblum
Stanley Rosenblum was a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky II."
-
D.
Louis J. Lefkowitz
Louis J. Lefkowitz was a prominent New York politician and lawyer best known for his long tenure as New York State Attorney General in the mid-20th century.
-
E.
Edwin Blum
Edwin Blum was an American screenwriter known for his work on classic Hollywood films, including contributions to notable adaptations and dramas in the mid-20th century.
- F. None of above. chosen
Provenance (5 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2571ac8ec8190bf59c2cec5e2e6e2 |
completed | April 5, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:06 p.m.