Triple
T10493831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body Double |
E247483
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Gregg Henry
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
|
E876857
|
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: Gregg Henry | Statement: [Body Double, stars, Gregg Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregg Henry Context triple: [Body Double, stars, Gregg Henry]
-
A.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
B.
Jeffery Wood
Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
-
C.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
-
D.
Jon Hensley
Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
-
E.
Tim Mahoney
Tim Mahoney is an American musician best known as the lead guitarist for the rock band 311.
- 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: Gregg Henry Triple: [Body Double, stars, Gregg Henry]
Generated description
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gregg Henry Target entity description: Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
-
A.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
B.
Jeffery Wood
Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
-
C.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
-
D.
Jon Hensley
Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
-
E.
Tim Mahoney
Tim Mahoney is an American musician best known as the lead guitarist for the rock band 311.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d979fa05d8819087e2167cc9247598 |
completed | April 10, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d97c7bc87481908d50eb6f294170eb |
completed | April 10, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 6, 2026, 12:24 p.m.