Triple
T15311552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy (2016 film) |
E366049
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
James Russell
James Russell is an actor known for his role in the 2016 horror film "The Boy."
|
E1159870
|
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: James Russell | Statement: [The Boy (2016 film), castMember, James Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Russell Context triple: [The Boy (2016 film), castMember, James Russell]
-
A.
George Saxton
George Saxton is the central fictional protagonist of D. H. Lawrence’s early novel "The White Peacock," around whom the story’s emotional and social conflicts revolve.
-
B.
Moorfield Storey
Moorfield Storey was an American lawyer, civil rights leader, and anti-imperialist known for his early and influential advocacy for racial equality and justice.
-
C.
Henry Haywood Knight
Henry Haywood Knight was a local figure of historical significance in North Carolina, after whom the town of Knightdale was named.
-
D.
Lewis Wallace
Lewis Wallace was a 19th-century American lawyer, Civil War general, diplomat, and author best known for writing the novel "Ben-Hur: A Tale of the Christ."
-
E.
Arthur Drinkard
Arthur Drinkard is a member of the Drinkard family, known for its connections to the influential Drinkard Singers gospel lineage.
- 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: James Russell Triple: [The Boy (2016 film), castMember, James Russell]
Generated description
James Russell is an actor known for his role in the 2016 horror film "The Boy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Russell Target entity description: James Russell is an actor known for his role in the 2016 horror film "The Boy."
-
A.
George Saxton
George Saxton is the central fictional protagonist of D. H. Lawrence’s early novel "The White Peacock," around whom the story’s emotional and social conflicts revolve.
-
B.
Moorfield Storey
Moorfield Storey was an American lawyer, civil rights leader, and anti-imperialist known for his early and influential advocacy for racial equality and justice.
-
C.
Henry Haywood Knight
Henry Haywood Knight was a local figure of historical significance in North Carolina, after whom the town of Knightdale was named.
-
D.
Lewis Wallace
Lewis Wallace was a 19th-century American lawyer, Civil War general, diplomat, and author best known for writing the novel "Ben-Hur: A Tale of the Christ."
-
E.
Arthur Drinkard
Arthur Drinkard is a member of the Drinkard family, known for its connections to the influential Drinkard Singers gospel lineage.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364bafd0819086b8aab1c216c6fa |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff36d249348190b9ad754cd8fdfd8b |
completed | May 9, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37179708819097a2a34c9bf7a9a1 |
completed | May 9, 2026, 1:31 p.m. |
Created at: April 10, 2026, 3:16 a.m.