Triple
T9839563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Q |
E239186
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Howard Burkons
Howard Burkons is a film producer best known for his work on the thriller drama "John Q."
|
E845395
|
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: Howard Burkons | Statement: [John Q, producer, Howard Burkons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Burkons Context triple: [John Q, producer, Howard Burkons]
-
A.
Harry Fischbeck
Harry Fischbeck was an early American cinematographer best known as one of the founders of the American Society of Cinematographers, helping to establish professional standards and recognition for the craft.
-
B.
Howard Rosenman
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
-
C.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
-
D.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
-
E.
Robert Blum
Robert Blum was the son of French politician and former Prime Minister Léon Blum.
- 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: Howard Burkons Triple: [John Q, producer, Howard Burkons]
Generated description
Howard Burkons is a film producer best known for his work on the thriller drama "John Q."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Burkons Target entity description: Howard Burkons is a film producer best known for his work on the thriller drama "John Q."
-
A.
Harry Fischbeck
Harry Fischbeck was an early American cinematographer best known as one of the founders of the American Society of Cinematographers, helping to establish professional standards and recognition for the craft.
-
B.
Howard Rosenman
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
-
C.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
-
D.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
-
E.
Robert Blum
Robert Blum was the son of French politician and former Prime Minister Léon Blum.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2fff34bb08190bebd5089324782dd |
completed | April 6, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_69d301dd614481909b357f319ba5e876 |
completed | April 6, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302978e808190a9f5371a2bf4abce |
completed | April 6, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:33 p.m.