Triple
T8892936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One World Concert |
E211724
|
entity |
| Predicate | personnel |
P50783
|
FINISHED |
| Object |
Kelly Martin
Kelly Martin is a musician who performed as part of the ensemble for the One World Concert event.
|
E848812
|
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: Kelly Martin | Statement: [One World Concert, personnel, Kelly Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Martin Context triple: [One World Concert, personnel, Kelly Martin]
-
A.
Lindsey Martin
Lindsey Martin is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
B.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
-
C.
Jennifer McKinley
Jennifer McKinley is a distinguished geoscientist recognized for her significant contributions to the field, as evidenced by her receipt of the prestigious William Smith Medal.
-
D.
Karen Gilchrist
Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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: Kelly Martin Triple: [One World Concert, personnel, Kelly Martin]
Generated description
Kelly Martin is a musician who performed as part of the ensemble for the One World Concert event.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelly Martin Target entity description: Kelly Martin is a musician who performed as part of the ensemble for the One World Concert event.
-
A.
Lindsey Martin
Lindsey Martin is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
B.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
-
C.
Jennifer McKinley
Jennifer McKinley is a distinguished geoscientist recognized for her significant contributions to the field, as evidenced by her receipt of the prestigious William Smith Medal.
-
D.
Karen Gilchrist
Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bb46c881909e579bb1926e5204 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d4d6c6d50c8190976d808e66d06d0f |
completed | April 7, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69d4d7f9a37081908d5f65ab16ee10b1 |
completed | April 7, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d4d8b055cc8190991f9b6135ff4e86 |
completed | April 7, 2026, 10:13 a.m. |
Created at: March 30, 2026, 6:54 p.m.