Triple
T6867856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Kane |
E158457
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
|
E626069
|
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: Mr. Kane | Statement: [Mary Kane, spouse, Mr. Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Kane Context triple: [Mary Kane, spouse, Mr. Kane]
-
A.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
B.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
C.
Mr. Mudd
Mr. Mudd is a film and television production company known for producing acclaimed independent and character-driven projects.
-
D.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
E.
Arthur Kane
Arthur Kane was an American bassist best known as a co-founder of the influential proto-punk band the New York Dolls.
- 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: Mr. Kane Triple: [Mary Kane, spouse, Mr. Kane]
Generated description
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Kane Target entity description: Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
-
A.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
B.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
C.
Mr. Mudd
Mr. Mudd is a film and television production company known for producing acclaimed independent and character-driven projects.
-
D.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
E.
Arthur Kane
Arthur Kane was an American bassist best known as a co-founder of the influential proto-punk band the New York Dolls.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a793a481909340239c065393a4 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c7448553288190ad330597c4705bd5 |
completed | March 28, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7451d5a908190b72ef845a4d05b25 |
completed | March 28, 2026, 3:03 a.m. |
Created at: March 27, 2026, 2:21 p.m.