Triple
T5913347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Burns |
E131516
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Willa Burns
Willa Burns is a daughter of acclaimed American documentary filmmaker Ken Burns.
|
E569415
|
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: Willa Burns | Statement: [Ken Burns, hasChild, Willa Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willa Burns Context triple: [Ken Burns, hasChild, Willa Burns]
-
A.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
-
B.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
-
C.
Lucy McCallum
Lucy McCallum is an Australian jurist who serves as the Chief Justice of the Supreme Court of the Australian Capital Territory.
-
D.
Elizabeth McRae
Elizabeth McRae is known primarily as the wife of influential television producer Sydney Newman, a key figure in British and Canadian TV history.
-
E.
Katherine Clifton
Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
- 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: Willa Burns Triple: [Ken Burns, hasChild, Willa Burns]
Generated description
Willa Burns is a daughter of acclaimed American documentary filmmaker Ken Burns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willa Burns Target entity description: Willa Burns is a daughter of acclaimed American documentary filmmaker Ken Burns.
-
A.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
-
B.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
-
C.
Lucy McCallum
Lucy McCallum is an Australian jurist who serves as the Chief Justice of the Supreme Court of the Australian Capital Territory.
-
D.
Elizabeth McRae
Elizabeth McRae is known primarily as the wife of influential television producer Sydney Newman, a key figure in British and Canadian TV history.
-
E.
Katherine Clifton
Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b85c7481908bc9da9d38e02d2b |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124fda1848190894b51d45f2b0a7a |
completed | March 23, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c128c384008190b6c11709b2d2eee9 |
completed | March 23, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129005930819095e2f4b296201611 |
completed | March 23, 2026, 11:50 a.m. |
Created at: March 22, 2026, 3:59 p.m.