Triple
T5944651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Georgi |
E132249
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Ann Nelson
Ann Nelson was an influential American theoretical physicist known for her work on particle physics, including theories of electroweak symmetry breaking, CP violation, and dark matter.
|
E627965
|
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: Ann Nelson | Statement: [Howard Georgi, notableStudent, Ann Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Nelson Context triple: [Howard Georgi, notableStudent, Ann Nelson]
-
A.
Ann Nelson
Ann Nelson is the daughter of Edmund Nelson, a British clergyman best known as the father of Admiral Horatio Nelson.
-
B.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
C.
Ruth Cunningham
Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
-
D.
Sherry Martin
Sherry Martin is the female lead in the 1936 Fred Astaire and Ginger Rogers musical film "Follow the Fleet," known for her singing, dancing, and romantic storyline.
-
E.
Gail Brown
Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
- 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: Ann Nelson Triple: [Howard Georgi, notableStudent, Ann Nelson]
Generated description
Ann Nelson was an influential American theoretical physicist known for her work on particle physics, including theories of electroweak symmetry breaking, CP violation, and dark matter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Nelson Target entity description: Ann Nelson was an influential American theoretical physicist known for her work on particle physics, including theories of electroweak symmetry breaking, CP violation, and dark matter.
-
A.
Ann Nelson
Ann Nelson is the daughter of Edmund Nelson, a British clergyman best known as the father of Admiral Horatio Nelson.
-
B.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
C.
Ruth Cunningham
Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
-
D.
Sherry Martin
Sherry Martin is the female lead in the 1936 Fred Astaire and Ginger Rogers musical film "Follow the Fleet," known for her singing, dancing, and romantic storyline.
-
E.
Gail Brown
Gail Brown is an American actress and the sister of acclaimed film and television actress Karen Black.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03937b4a88190819a1fd63fc3d3ed |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74872582c81908c64a9bf925f67c6 |
completed | March 28, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c74aa66e5481909d3c08289d1e86b4 |
completed | March 28, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74b50fe148190b527c5b625e701bc |
completed | March 28, 2026, 3:30 a.m. |
Created at: March 22, 2026, 4:01 p.m.