Triple
T13481372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Testament |
E318379
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tom Wetherly
Tom Wetherly is the central protagonist of the post-apocalyptic drama film "Testament," around whom the story’s emotional and moral struggles unfold.
|
E1142967
|
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 Wetherly | Statement: [Testament, mainCharacter, Tom Wetherly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Wetherly Context triple: [Testament, mainCharacter, Tom Wetherly]
-
A.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
B.
Tom Wicker
Tom Wicker was an influential American journalist and author best known for his political reporting and long tenure as a columnist and editor at The New York Times.
-
C.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
D.
Dennis Awtrey
Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
-
E.
Frank Wead
Frank Wead was an American naval aviator-turned-screenwriter known for his aviation-themed stories and contributions to classic Hollywood films.
- 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 Wetherly Triple: [Testament, mainCharacter, Tom Wetherly]
Generated description
Tom Wetherly is the central protagonist of the post-apocalyptic drama film "Testament," around whom the story’s emotional and moral struggles unfold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Wetherly Target entity description: Tom Wetherly is the central protagonist of the post-apocalyptic drama film "Testament," around whom the story’s emotional and moral struggles unfold.
-
A.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
B.
Tom Wicker
Tom Wicker was an influential American journalist and author best known for his political reporting and long tenure as a columnist and editor at The New York Times.
-
C.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
D.
Dennis Awtrey
Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
-
E.
Frank Wead
Frank Wead was an American naval aviator-turned-screenwriter known for his aviation-themed stories and contributions to classic Hollywood films.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed47c88d08190a4396b955c9bb388 |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed50956408190b1426d578803974e |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 9, 2026, 9:42 p.m.