Triple
T8514760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: Vegas |
E201544
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
John M. Keane
John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
|
E841388
|
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: John M. Keane | Statement: [CSI: Vegas, composer, John M. Keane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John M. Keane Context triple: [CSI: Vegas, composer, John M. Keane]
-
A.
Brian Moynihan
Brian Moynihan is an American lawyer and businessman who serves as the longtime chairman and chief executive officer of Bank of America.
-
B.
Tom O'Brien
Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
-
C.
Tom O’Brien
Tom O’Brien is an American football coach best known for revitalizing Boston College’s football program in the late 1990s and early 2000s before later leading NC State.
-
D.
Joseph J. O’Donnell
Joseph J. O’Donnell is a Harvard alumnus and philanthropist known for his significant contributions to the university, particularly to its athletic facilities.
-
E.
Joseph B. Keenan
Joseph B. Keenan was an American lawyer and U.S. Assistant Attorney General who served as the chief prosecutor in the post–World War II Tokyo war crimes trials.
- 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: John M. Keane Triple: [CSI: Vegas, composer, John M. Keane]
Generated description
John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John M. Keane Target entity description: John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
-
A.
Brian Moynihan
Brian Moynihan is an American lawyer and businessman who serves as the longtime chairman and chief executive officer of Bank of America.
-
B.
Tom O'Brien
Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
-
C.
Tom O’Brien
Tom O’Brien is an American football coach best known for revitalizing Boston College’s football program in the late 1990s and early 2000s before later leading NC State.
-
D.
Joseph J. O’Donnell
Joseph J. O’Donnell is a Harvard alumnus and philanthropist known for his significant contributions to the university, particularly to its athletic facilities.
-
E.
Joseph B. Keenan
Joseph B. Keenan was an American lawyer and U.S. Assistant Attorney General who served as the chief prosecutor in the post–World War II Tokyo war crimes trials.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60e12848190a4a3dfa457aef275 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b54de2cc8190b14e3e726b4e9384 |
completed | April 5, 2026, 7:17 p.m. |
| NEDg | Description generation | batch_69d2b9b6c3f8819092958f3988be5c5e |
completed | April 5, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ba151f6881909213e53f00c24bb9 |
completed | April 5, 2026, 7:37 p.m. |
Created at: March 30, 2026, 6:15 p.m.