Triple
T4505002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Feet Under |
E101311
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
David Fisher
David Fisher is a central character in the television drama "Six Feet Under," known as a tightly wound, closeted gay funeral director struggling with family expectations and his own identity.
|
E447625
|
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: David Fisher | Statement: [Six Feet Under, hasMainCharacter, David Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Fisher Context triple: [Six Feet Under, hasMainCharacter, David Fisher]
-
A.
David Fisher
David Fisher was a British television writer best known for his work on the science fiction series Doctor Who.
-
B.
Bob Fisher
Bob Fisher is an American screenwriter best known for co-writing the hit comedy film "Wedding Crashers."
-
C.
Jonathan Fisk
Jonathan Fisk was an early 19th-century American politician who served as a U.S. Representative from New York.
-
D.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
E.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
- 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: David Fisher Triple: [Six Feet Under, hasMainCharacter, David Fisher]
Generated description
David Fisher is a central character in the television drama "Six Feet Under," known as a tightly wound, closeted gay funeral director struggling with family expectations and his own identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Fisher Target entity description: David Fisher is a central character in the television drama "Six Feet Under," known as a tightly wound, closeted gay funeral director struggling with family expectations and his own identity.
-
A.
David Fisher
David Fisher was a British television writer best known for his work on the science fiction series Doctor Who.
-
B.
Bob Fisher
Bob Fisher is an American screenwriter best known for co-writing the hit comedy film "Wedding Crashers."
-
C.
Jonathan Fisk
Jonathan Fisk was an early 19th-century American politician who served as a U.S. Representative from New York.
-
D.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
E.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9961ac8190954b2d352d2319fb |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd705e0e848190a73e7ddb569f0e37 |
completed | March 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd71b41664819091bd4f75d4634943 |
completed | March 20, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:01 p.m.