Triple
T4371541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Larroquette |
E98907
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Carl Sack
Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
|
E436821
|
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: Carl Sack | Statement: [John Larroquette, characterPortrayed, Carl Sack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Sack Context triple: [John Larroquette, characterPortrayed, Carl Sack]
-
A.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
B.
Stan Salfas
Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
-
C.
Carl Kress
Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
-
D.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
E.
Robert Sauer
Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
- 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: Carl Sack Triple: [John Larroquette, characterPortrayed, Carl Sack]
Generated description
Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Sack Target entity description: Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
-
A.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
B.
Stan Salfas
Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
-
C.
Carl Kress
Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
-
D.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
E.
Robert Sauer
Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5d4612c8190ac5163d50299f8ab |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f674c94c81908327336dd4380d2e |
completed | March 14, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f719d008819090a35e3597a0089f |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:17 p.m.