Triple
T3342840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: NY |
E70297
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sheldon Hawkes
Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
|
E353964
|
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: Sheldon Hawkes | Statement: [CSI: NY, mainCharacter, Sheldon Hawkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheldon Hawkes Context triple: [CSI: NY, mainCharacter, Sheldon Hawkes]
-
A.
Sheldon Lane
Sheldon Lane is an individual notable enough to be recognized as a prominent bearer of the surname Lane.
-
B.
Charles Leavitt
Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
-
C.
Harry Robbins
Harry Robbins "H. R." Haldeman was an American political aide who served as White House Chief of Staff to President Richard Nixon and became a central figure in the Watergate scandal.
-
D.
John Gurney
John Gurney was a prominent English Quaker banker and member of the influential Gurney family of Norwich.
-
E.
Daniel Lothrop
Daniel Lothrop was a 19th-century American publisher best known for founding the D. Lothrop Company, which specialized in children's and religious literature.
- 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: Sheldon Hawkes Triple: [CSI: NY, mainCharacter, Sheldon Hawkes]
Generated description
Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheldon Hawkes Target entity description: Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
-
A.
Sheldon Lane
Sheldon Lane is an individual notable enough to be recognized as a prominent bearer of the surname Lane.
-
B.
Charles Leavitt
Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
-
C.
Harry Robbins
Harry Robbins "H. R." Haldeman was an American political aide who served as White House Chief of Staff to President Richard Nixon and became a central figure in the Watergate scandal.
-
D.
John Gurney
John Gurney was a prominent English Quaker banker and member of the influential Gurney family of Norwich.
-
E.
Daniel Lothrop
Daniel Lothrop was a 19th-century American publisher best known for founding the D. Lothrop Company, which specialized in children's and religious literature.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33426f73881908eb0759c47eb08d7 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334e5171c8190a01bb6fef5644825 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3390c50b08190b6239b5f0d1eb4ba |
completed | March 12, 2026, 10:07 p.m. |
Created at: March 8, 2026, 3:12 p.m.