Triple
T984261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Star Is Born (1954 film) |
E21243
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tommy Noonan
Tommy Noonan was an American film and television actor and comedian known for his character roles in 1950s Hollywood movies.
|
E135517
|
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: Tommy Noonan | Statement: [A Star Is Born (1954 film), starring, Tommy Noonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Noonan Context triple: [A Star Is Born (1954 film), starring, Tommy Noonan]
-
A.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
B.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
C.
Tommy McClelland
Tommy McClelland is a collegiate athletics administrator known for serving as the athletic director at Rice University and previously holding the same role at Louisiana Tech.
-
D.
John O’May
John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
-
E.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
- 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: Tommy Noonan Triple: [A Star Is Born (1954 film), starring, Tommy Noonan]
Generated description
Tommy Noonan was an American film and television actor and comedian known for his character roles in 1950s Hollywood movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Noonan Target entity description: Tommy Noonan was an American film and television actor and comedian known for his character roles in 1950s Hollywood movies.
-
A.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
B.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
C.
Tommy McClelland
Tommy McClelland is a collegiate athletics administrator known for serving as the athletic director at Rice University and previously holding the same role at Louisiana Tech.
-
D.
John O’May
John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
-
E.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b493f5dc819090d239c2f7e083de |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0503ec81908112cf30ca85530a |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac7185ea608190802a87f75273f8b7 |
completed | March 7, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac71c5266c819086647d47b9fb73dc |
completed | March 7, 2026, 6:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.