Triple
T14539952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diagnosis: Murder |
E341141
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Steve Sloan
Steve Sloan is a fictional Los Angeles police detective and the son of Dr. Mark Sloan on the television series "Diagnosis: Murder."
|
E1107362
|
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: Steve Sloan | Statement: [Diagnosis: Murder, character, Steve Sloan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Sloan Context triple: [Diagnosis: Murder, character, Steve Sloan]
-
A.
Dave Loggins
Dave Loggins is an American singer-songwriter best known for his 1974 hit "Please Come to Boston" and his work in country and soft rock music.
-
B.
Don James
Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
-
C.
Scott C. Chapman
Scott C. Chapman is an astronomer known for his work on nearby galaxies and the discovery of faint dwarf galaxies such as Andromeda XIV.
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- 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: Steve Sloan Triple: [Diagnosis: Murder, character, Steve Sloan]
Generated description
Steve Sloan is a fictional Los Angeles police detective and the son of Dr. Mark Sloan on the television series "Diagnosis: Murder."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Sloan Target entity description: Steve Sloan is a fictional Los Angeles police detective and the son of Dr. Mark Sloan on the television series "Diagnosis: Murder."
-
A.
Dave Loggins
Dave Loggins is an American singer-songwriter best known for his 1974 hit "Please Come to Boston" and his work in country and soft rock music.
-
B.
Don James
Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
-
C.
Scott C. Chapman
Scott C. Chapman is an astronomer known for his work on nearby galaxies and the discovery of faint dwarf galaxies such as Andromeda XIV.
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab414dc8190a233185068cfb8ff |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8c9564a08190bfacd7ba9cadb6b6 |
completed | May 8, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d1414f88190b6cea5a7106f1c3c |
completed | May 8, 2026, 7:13 a.m. |
Created at: April 10, 2026, 1:22 a.m.