Triple
T15600813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Detroit |
E375026
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Barry Blumberg
Barry Blumberg is a screenwriter best known for his work on the 1983 comedy film "Doctor Detroit."
|
E1167369
|
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: Barry Blumberg | Statement: [Doctor Detroit, screenwriter, Barry Blumberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Blumberg Context triple: [Doctor Detroit, screenwriter, Barry Blumberg]
-
A.
Harvey Shine
Harvey Shine is the middle-aged, down-on-his-luck jingle writer portrayed by Dustin Hoffman in the romantic drama film "Last Chance Harvey."
-
B.
Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
-
C.
Robert Weinberg
Robert Weinberg is a prominent American cancer biologist best known for his pioneering work on oncogenes and tumor suppressor genes, which helped establish the molecular basis of cancer.
-
D.
David H. Kurtzman
David H. Kurtzman was a Pennsylvania state education official best known as the named defendant in the landmark U.S. Supreme Court case Lemon v. Kurtzman, which established the modern test for violations of the Establishment Clause.
-
E.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
- 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: Barry Blumberg Triple: [Doctor Detroit, screenwriter, Barry Blumberg]
Generated description
Barry Blumberg is a screenwriter best known for his work on the 1983 comedy film "Doctor Detroit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barry Blumberg Target entity description: Barry Blumberg is a screenwriter best known for his work on the 1983 comedy film "Doctor Detroit."
-
A.
Harvey Shine
Harvey Shine is the middle-aged, down-on-his-luck jingle writer portrayed by Dustin Hoffman in the romantic drama film "Last Chance Harvey."
-
B.
Steven G. Ehrlich
Steven G. Ehrlich is an American jurist who served as a justice on the Florida Supreme Court.
-
C.
Robert Weinberg
Robert Weinberg is a prominent American cancer biologist best known for his pioneering work on oncogenes and tumor suppressor genes, which helped establish the molecular basis of cancer.
-
D.
David H. Kurtzman
David H. Kurtzman was a Pennsylvania state education official best known as the named defendant in the landmark U.S. Supreme Court case Lemon v. Kurtzman, which established the modern test for violations of the Establishment Clause.
-
E.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff5acd35648190a204b78f7fb9619c |
completed | May 9, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5b3f71148190a96c6f396512c1fd |
completed | May 9, 2026, 4:05 p.m. |
Created at: April 10, 2026, 4:12 a.m.