Triple
T10211308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Litigators |
E242333
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
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."
|
E850155
|
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 Figg | Statement: [The Litigators, mainCharacter, Wally Figg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Figg Context triple: [The Litigators, mainCharacter, Wally Figg]
-
A.
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."
-
B.
Irwin Wade
Irwin Wade is a fictional World War II combat medic and member of the squad in the film "Saving Private Ryan."
-
C.
Wally Karue
Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 buddy comedy film "See No Evil, Hear No Evil."
-
D.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
E.
Bobby Walden
Bobby Walden was an American professional football punter best known for his successful NFL career, particularly with the Pittsburgh Steelers during their 1970s championship era.
- 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 Figg Triple: [The Litigators, mainCharacter, Wally Figg]
Generated description
Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Figg Target entity description: Wally Figg is a down-on-his-luck, ethically flexible lawyer who becomes a central figure in John Grisham’s legal thriller "The Litigators."
-
A.
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."
-
B.
Irwin Wade
Irwin Wade is a fictional World War II combat medic and member of the squad in the film "Saving Private Ryan."
-
C.
Wally Karue
Wally Karue is a comedic character portrayed by Richard Pryor in the 1989 buddy comedy film "See No Evil, Hear No Evil."
-
D.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
-
E.
Bobby Walden
Bobby Walden was an American professional football punter best known for his successful NFL career, particularly with the Pittsburgh Steelers during their 1970s championship era.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d656a847fc8190af1f3e131e4200b3 |
completed | April 8, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6570d98f881909b9591f9d953eb35 |
completed | April 8, 2026, 1:24 p.m. |
Created at: April 6, 2026, 11:01 a.m.