Triple
T2547239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bells of San Angelo |
E57932
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
John McGuire
John McGuire was an American film actor active in the 1930s and 1940s, known for his roles in crime dramas and Westerns.
|
E279865
|
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 McGuire | Statement: [The Bells of San Angelo, starring, John McGuire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John McGuire Context triple: [The Bells of San Angelo, starring, John McGuire]
-
A.
Ray Danton
Ray Danton was an American actor and director best known for his suave, often villainous roles in film and television during the 1950s and 1960s.
-
B.
Jack Oaker
Jack Oaker was the husband of silent film actress Belle Bennett, known primarily in relation to her life and career.
-
C.
Dan Hampton
Dan Hampton is a Hall of Fame defensive lineman best known for anchoring the Chicago Bears’ dominant 1980s defense.
-
D.
Ralph Boston
Ralph Boston was an American track and field athlete best known for breaking the long jump world record and winning the gold medal at the 1960 Rome Olympics.
-
E.
Bill Cobbs
Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
- 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 McGuire Triple: [The Bells of San Angelo, starring, John McGuire]
Generated description
John McGuire was an American film actor active in the 1930s and 1940s, known for his roles in crime dramas and Westerns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John McGuire Target entity description: John McGuire was an American film actor active in the 1930s and 1940s, known for his roles in crime dramas and Westerns.
-
A.
Ray Danton
Ray Danton was an American actor and director best known for his suave, often villainous roles in film and television during the 1950s and 1960s.
-
B.
Jack Oaker
Jack Oaker was the husband of silent film actress Belle Bennett, known primarily in relation to her life and career.
-
C.
Dan Hampton
Dan Hampton is a Hall of Fame defensive lineman best known for anchoring the Chicago Bears’ dominant 1980s defense.
-
D.
Ralph Boston
Ralph Boston was an American track and field athlete best known for breaking the long jump world record and winning the gold medal at the 1960 Rome Olympics.
-
E.
Bill Cobbs
Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655a0f088190a7ac30c6df1fdff6 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af669436208190901d1f34592c1a42 |
completed | March 10, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6760cf7c8190bb681f573828049e |
completed | March 10, 2026, 12:35 a.m. |
Created at: March 6, 2026, 9:47 p.m.