Triple
T19095517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Bayou |
E467393
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Roger Suen
Roger Suen is a film composer known for creating emotionally resonant scores for movies such as the drama "Blue Bayou."
|
E1357964
|
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: Roger Suen | Statement: [Blue Bayou, musicBy, Roger Suen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Suen Context triple: [Blue Bayou, musicBy, Roger Suen]
-
A.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
-
B.
Richard Aoki
Richard Aoki was a prominent Japanese American activist and member of the Black Panther Party known for his influential role in Asian American and Third World liberation movements during the 1960s and 1970s.
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Michael Otsuka
Michael Otsuka is a political philosopher known for his work on left-libertarianism, distributive justice, and the ethics of risk.
-
E.
Walter Cho
Walter Cho is a South Korean business executive best known as the chairman and CEO of Korean Air and head of the Hanjin Group conglomerate.
- 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: Roger Suen Triple: [Blue Bayou, musicBy, Roger Suen]
Generated description
Roger Suen is a film composer known for creating emotionally resonant scores for movies such as the drama "Blue Bayou."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Suen Target entity description: Roger Suen is a film composer known for creating emotionally resonant scores for movies such as the drama "Blue Bayou."
-
A.
Michael Shiosaki
Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
-
B.
Richard Aoki
Richard Aoki was a prominent Japanese American activist and member of the Black Panther Party known for his influential role in Asian American and Third World liberation movements during the 1960s and 1970s.
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Michael Otsuka
Michael Otsuka is a political philosopher known for his work on left-libertarianism, distributive justice, and the ethics of risk.
-
E.
Walter Cho
Walter Cho is a South Korean business executive best known as the chairman and CEO of Korean Air and head of the Hanjin Group conglomerate.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd96b8b48190a3c5b14122380b68 |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05dfcd85b08190b0ec431590396dbb |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 12:04 p.m.