Triple
T18634610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Gigolo |
E455510
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Tom Stewart
Tom Stewart is an actor known for his role in the film "American Gigolo."
|
E1334388
|
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: Tom Stewart | Statement: [American Gigolo, stars, Tom Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Stewart Context triple: [American Gigolo, stars, Tom Stewart]
-
A.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
-
B.
Jim Stewart
Jim Stewart was an American record producer and co-founder of the influential soul music label Stax Records in Memphis, Tennessee.
-
C.
Jim Stewart
Jim Stewart is a film editor known for his work on the animated feature "Monsters, Inc."
-
D.
Ben Starr
Ben Starr was an American television and film writer best known for his work on classic sitcoms and comedy scripts in the mid-20th century.
-
E.
Bob Stewart
Bob Stewart was an American television producer and game show creator best known for developing popular formats such as "The Price Is Right," "To Tell the Truth," and "Password."
- 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: Tom Stewart Triple: [American Gigolo, stars, Tom Stewart]
Generated description
Tom Stewart is an actor known for his role in the film "American Gigolo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Stewart Target entity description: Tom Stewart is an actor known for his role in the film "American Gigolo."
-
A.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
-
B.
Jim Stewart
Jim Stewart was an American record producer and co-founder of the influential soul music label Stax Records in Memphis, Tennessee.
-
C.
Jim Stewart
Jim Stewart is a film editor known for his work on the animated feature "Monsters, Inc."
-
D.
Ben Starr
Ben Starr was an American television and film writer best known for his work on classic sitcoms and comedy scripts in the mid-20th century.
-
E.
Bob Stewart
Bob Stewart was an American television producer and game show creator best known for developing popular formats such as "The Price Is Right," "To Tell the Truth," and "Password."
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc80b308190932303231524d372 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d8039f481909ffe9d62afbb2a23 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050df74ca08190a7554396e052b702 |
completed | May 13, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ecc33e48190bc28430a6a771492 |
completed | May 13, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:46 a.m.