Triple
T887138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susannah Martin |
E19154
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
George Martin
George Martin was the husband of Susannah Martin, one of the women executed during the Salem witch trials in 1692.
|
E105829
|
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: George Martin | Statement: [Susannah Martin, spouse, George Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Martin Context triple: [Susannah Martin, spouse, George Martin]
-
A.
George Martin
George Martin was a British record producer, arranger, and composer best known as the “Fifth Beatle” for his pivotal role in shaping the sound and success of The Beatles.
-
B.
John Barry
John Barry was an Irish-born American naval officer renowned as one of the founding captains of the United States Navy during the American Revolutionary era.
-
C.
John Barry
John Barry was a renowned British film composer best known for his iconic scores for the James Bond series and numerous other major motion pictures.
-
D.
Trevor Horn
Trevor Horn is a renowned English record producer, musician, and songwriter known for his influential work in shaping the sound of 1980s pop and new wave music.
-
E.
John Debney
John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
- 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: George Martin Triple: [Susannah Martin, spouse, George Martin]
Generated description
George Martin was the husband of Susannah Martin, one of the women executed during the Salem witch trials in 1692.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Martin Target entity description: George Martin was the husband of Susannah Martin, one of the women executed during the Salem witch trials in 1692.
-
A.
George Martin
George Martin was a British record producer, arranger, and composer best known as the “Fifth Beatle” for his pivotal role in shaping the sound and success of The Beatles.
-
B.
John Barry
John Barry was a renowned British film composer best known for his iconic scores for the James Bond series and numerous other major motion pictures.
-
C.
John Barry
John Barry was an Irish-born American naval officer renowned as one of the founding captains of the United States Navy during the American Revolutionary era.
-
D.
Trevor Horn
Trevor Horn is a renowned English record producer, musician, and songwriter known for his influential work in shaping the sound of 1980s pop and new wave music.
-
E.
John Debney
John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace8b8688190ac065f92c017adec |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c021732c8190a3b4020f8e3cb90e |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c0f4bd348190a5c258650a92958a |
completed | March 4, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c206d5c481908f45fcf9b94eec14 |
completed | March 4, 2026, 5:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.