Triple
T12386418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Bellecourt |
E295875
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Crow Bellecourt
Crow Bellecourt is a descendant of prominent Native American civil rights leader Clyde Bellecourt.
|
E979423
|
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: Crow Bellecourt | Statement: [Clyde Bellecourt, hasChild, Crow Bellecourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crow Bellecourt Context triple: [Clyde Bellecourt, hasChild, Crow Bellecourt]
-
A.
Evangeline Bellefontaine
Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
-
B.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
E.
Perrineau
Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
- 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: Crow Bellecourt Triple: [Clyde Bellecourt, hasChild, Crow Bellecourt]
Generated description
Crow Bellecourt is a descendant of prominent Native American civil rights leader Clyde Bellecourt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crow Bellecourt Target entity description: Crow Bellecourt is a descendant of prominent Native American civil rights leader Clyde Bellecourt.
-
A.
Evangeline Bellefontaine
Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
-
B.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
E.
Perrineau
Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c7b28588190839c35c19856d16f |
completed | May 2, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62e403a308190a2bba3fefc420932 |
completed | May 2, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:54 p.m.