Triple
T21587322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agatha |
E532683
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Wally Stanton
Wally Stanton is a fictional character who serves as the central figure in the story featuring Agatha.
|
E1491039
|
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: Wally Stanton | Statement: [Agatha, mainCharacter, Wally Stanton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Stanton Context triple: [Agatha, mainCharacter, Wally Stanton]
-
A.
Wally Figg
Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
-
B.
Wally Benton
Wally Benton is a bumbling yet quick-witted radio crime-show writer and amateur sleuth who becomes entangled in real-life mystery and danger in the film "Whistling in the Dark."
-
C.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
D.
Wally Safford
Wally Safford is an American dancer, bodyguard, and performer best known for his work with Prince during the 1980s.
-
E.
Walt Willey
Walt Willey is an American actor best known for his long-running role as attorney Jackson Montgomery on the soap opera "All My Children."
- 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: Wally Stanton Triple: [Agatha, mainCharacter, Wally Stanton]
Generated description
Wally Stanton is a fictional character who serves as the central figure in the story featuring Agatha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Stanton Target entity description: Wally Stanton is a fictional character who serves as the central figure in the story featuring Agatha.
-
A.
Wally Figg
Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
-
B.
Wally Benton
Wally Benton is a bumbling yet quick-witted radio crime-show writer and amateur sleuth who becomes entangled in real-life mystery and danger in the film "Whistling in the Dark."
-
C.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
D.
Wally Safford
Wally Safford is an American dancer, bodyguard, and performer best known for his work with Prince during the 1980s.
-
E.
Walt Willey
Walt Willey is an American actor best known for his long-running role as attorney Jackson Montgomery on the soap opera "All My Children."
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb621ab88190a33a943424ffb306 |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67f08208190a1633fd2a28e2fa2 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f6fc3d7081909edf8cc575b6293e |
completed | May 17, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f79098e48190acdcad615098c55a |
completed | May 17, 2026, 5:14 p.m. |
Created at: April 16, 2026, 6:31 p.m.