Triple
T5303374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goodbye Girl |
E120036
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michael Shawn
Michael Shawn is an actor known for his role in the film "The Goodbye Girl."
|
E509643
|
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: Michael Shawn | Statement: [The Goodbye Girl, starring, Michael Shawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shawn Context triple: [The Goodbye Girl, starring, Michael Shawn]
-
A.
Shawn Matthews
Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
-
B.
Michael Stephen
Michael Stephen is a physicist best known for co-developing the influential Bardeen–Stephen model that describes flux flow in type-II superconductors.
-
C.
Shawn King
Shawn King is an American singer, actress, and television host best known as the former wife of legendary broadcaster Larry King.
-
D.
Michael McDowell
Michael McDowell was an American novelist and screenwriter best known for his Southern Gothic horror fiction and for writing the screenplay for the film "Beetlejuice."
-
E.
Shawn Marks
Shawn Marks is an individual notable enough to be recognized as a namesake of the surname Marks, though specific widely known public details about him are not clearly established.
- 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: Michael Shawn Triple: [The Goodbye Girl, starring, Michael Shawn]
Generated description
Michael Shawn is an actor known for his role in the film "The Goodbye Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Shawn Target entity description: Michael Shawn is an actor known for his role in the film "The Goodbye Girl."
-
A.
Shawn Matthews
Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
-
B.
Michael Stephen
Michael Stephen is a physicist best known for co-developing the influential Bardeen–Stephen model that describes flux flow in type-II superconductors.
-
C.
Shawn King
Shawn King is an American singer, actress, and television host best known as the former wife of legendary broadcaster Larry King.
-
D.
Michael McDowell
Michael McDowell was an American novelist and screenwriter best known for his Southern Gothic horror fiction and for writing the screenplay for the film "Beetlejuice."
-
E.
Shawn Marks
Shawn Marks is an individual notable enough to be recognized as a namesake of the surname Marks, though specific widely known public details about him are not clearly established.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851b685c8190b7ed8c762a807395 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10f3b9ac81909cd2ca2278b11d3e |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11635b9c819092130c46caea9306 |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf11e982d08190bc74312bf6ee7127 |
completed | March 21, 2026, 9:47 p.m. |
Created at: March 20, 2026, 1:53 p.m.