Triple
T5692462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhunter (film) |
E125456
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Michel Rubini
Michel Rubini is an American composer and keyboardist best known for his atmospheric film and television scores, including his work on Michael Mann’s thriller "Manhunter."
|
E540731
|
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: Michel Rubini | Statement: [Manhunter (film), musicBy, Michel Rubini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Rubini Context triple: [Manhunter (film), musicBy, Michel Rubini]
-
A.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
B.
Jean-Michel Raimond
Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
-
C.
Jules Sitruk
Jules Sitruk is a French actor known for his early roles in films such as "Monsieur Batignole" and "Son of Rambow."
-
D.
Paul Fabrini
Paul Fabrini is the tough, hardworking truck driver protagonist of the 1940 film noir drama "They Drive by Night."
-
E.
Marcel Ruiz
Marcel Ruiz is a Puerto Rican-American actor best known for his role as Alex Alvarez on the Netflix sitcom "One Day at a Time."
- 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: Michel Rubini Triple: [Manhunter (film), musicBy, Michel Rubini]
Generated description
Michel Rubini is an American composer and keyboardist best known for his atmospheric film and television scores, including his work on Michael Mann’s thriller "Manhunter."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Rubini Target entity description: Michel Rubini is an American composer and keyboardist best known for his atmospheric film and television scores, including his work on Michael Mann’s thriller "Manhunter."
-
A.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
B.
Jean-Michel Raimond
Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
-
C.
Jules Sitruk
Jules Sitruk is a French actor known for his early roles in films such as "Monsieur Batignole" and "Son of Rambow."
-
D.
Paul Fabrini
Paul Fabrini is the tough, hardworking truck driver protagonist of the 1940 film noir drama "They Drive by Night."
-
E.
Marcel Ruiz
Marcel Ruiz is a Puerto Rican-American actor best known for his role as Alex Alvarez on the Netflix sitcom "One Day at a Time."
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4f2bfc8190bc56c094f9ae9ce1 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05bb6a334819094cff84f16f5285c |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c7a03948190b38e2dfcb04fd93e |
completed | March 22, 2026, 9:17 p.m. |
Created at: March 22, 2026, 3:44 p.m.