Triple
T5913342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Burns |
E131516
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Julie Deborah Brown
Julie Deborah Brown is the wife of acclaimed American documentary filmmaker Ken Burns.
|
E676914
|
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: Julie Deborah Brown | Statement: [Ken Burns, spouse, Julie Deborah Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Deborah Brown Context triple: [Ken Burns, spouse, Julie Deborah Brown]
-
A.
Julie Gardner
Julie Gardner is a Welsh television producer best known for her pivotal role in reviving and executive producing the modern era of Doctor Who and its spin-offs.
-
B.
Julie Alexander
Julie Alexander is an American businesswoman and former wife of legendary television and radio host Larry King.
-
C.
Julie B. Platt
Julie B. Platt is an American philanthropist and Jewish community leader known for her extensive involvement in educational and cultural organizations.
-
D.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
-
E.
Julie Durk
Julie Durk is a film producer best known for her work on the romantic comedy "You've Got Mail."
- 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: Julie Deborah Brown Triple: [Ken Burns, spouse, Julie Deborah Brown]
Generated description
Julie Deborah Brown is the wife of acclaimed American documentary filmmaker Ken Burns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Deborah Brown Target entity description: Julie Deborah Brown is the wife of acclaimed American documentary filmmaker Ken Burns.
-
A.
Julie Gardner
Julie Gardner is a Welsh television producer best known for her pivotal role in reviving and executive producing the modern era of Doctor Who and its spin-offs.
-
B.
Julie Alexander
Julie Alexander is an American businesswoman and former wife of legendary television and radio host Larry King.
-
C.
Julie B. Platt
Julie B. Platt is an American philanthropist and Jewish community leader known for her extensive involvement in educational and cultural organizations.
-
D.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
-
E.
Julie Durk
Julie Durk is a film producer best known for her work on the romantic comedy "You've Got Mail."
- 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_69c8681d57c08190b72d1b010db3a065 |
completed | March 28, 2026, 11:45 p.m. |
| NEDg | Description generation | batch_69c8690ef840819082ecaa16b5cf3f0c |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86b70a51c819091590ff094e6e784 |
completed | March 28, 2026, 11:59 p.m. |
Created at: March 22, 2026, 3:59 p.m.