Triple
T14640993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Parks |
E343721
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Then Came Bronson
Then Came Bronson is a late-1960s American television drama series about a disillusioned reporter who travels across the country on a motorcycle seeking freedom and meaning.
|
E1306824
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Then Came Bronson Context triple: [Michael Parks, notableWork, Then Came Bronson]
-
A.
The Man from Brodney's
The Man from Brodney's is an early 20th-century adventure novel by American author George Barr McCutcheon, known for its romantic intrigue and exotic, escapist setting.
-
B.
Burnt Offerings
Burnt Offerings is a 1976 supernatural horror film about a family menaced by a malevolent house, noted for its atmospheric dread and starring Karen Black and Oliver Reed.
-
C.
Mr. Blonde
Mr. Blonde is a sadistic, unpredictable criminal and one of the central gang members in Quentin Tarantino’s film "Reservoir Dogs," notorious for his brutal violence and iconic torture scene.
-
D.
The Capital Punisher
The Capital Punisher is the nickname of Frank Howard, a towering power-hitting Major League Baseball slugger best known for his time with the Washington Senators in the 1960s and early 1970s.
-
E.
Act of Violence
Act of Violence is a 1948 American film noir thriller about a World War II veteran haunted by his past, directed by acclaimed filmmaker Fred Zinnemann.
- 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: Then Came Bronson Triple: [Michael Parks, notableWork, Then Came Bronson]
Generated description
Then Came Bronson is a late-1960s American television drama series about a disillusioned reporter who travels across the country on a motorcycle seeking freedom and meaning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Then Came Bronson Target entity description: Then Came Bronson is a late-1960s American television drama series about a disillusioned reporter who travels across the country on a motorcycle seeking freedom and meaning.
-
A.
The Man from Brodney's
The Man from Brodney's is an early 20th-century adventure novel by American author George Barr McCutcheon, known for its romantic intrigue and exotic, escapist setting.
-
B.
Burnt Offerings
Burnt Offerings is a 1976 supernatural horror film about a family menaced by a malevolent house, noted for its atmospheric dread and starring Karen Black and Oliver Reed.
-
C.
Mr. Blonde
Mr. Blonde is a sadistic, unpredictable criminal and one of the central gang members in Quentin Tarantino’s film "Reservoir Dogs," notorious for his brutal violence and iconic torture scene.
-
D.
The Capital Punisher
The Capital Punisher is the nickname of Frank Howard, a towering power-hitting Major League Baseball slugger best known for his time with the Washington Senators in the 1960s and early 1970s.
-
E.
Act of Violence
Act of Violence is a 1948 American film noir thriller about a World War II veteran haunted by his past, directed by acclaimed filmmaker Fred Zinnemann.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1f2ac48190be5990748207819a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037e34ca8c81909bdaa64d3777ffb7 |
completed | May 12, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037ea9aa208190b82e32b47d04a417 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:26 a.m.