Triple
T2247660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horace Mann |
E49543
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Elizabeth Mann
Elizabeth Mann was a member of the prominent Mann family of 19th-century American educational reformer Horace Mann.
|
E248036
|
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: Elizabeth Mann | Statement: [Horace Mann, sibling, Elizabeth Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Mann Context triple: [Horace Mann, sibling, Elizabeth Mann]
-
A.
Anna Murdoch Mann
Anna Murdoch Mann is a Scottish-born journalist and novelist best known as the former wife of media mogul Rupert Murdoch.
-
B.
Mary Lee Woods
Mary Lee Woods was a British mathematician and computer scientist who worked on early computers at Ferranti and was the mother of World Wide Web inventor Tim Berners-Lee.
-
C.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
D.
Nina Bruce Warren
Nina Bruce Warren is an American woman best known as the mother of actor and filmmaker George Clooney.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- 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: Elizabeth Mann Triple: [Horace Mann, sibling, Elizabeth Mann]
Generated description
Elizabeth Mann was a member of the prominent Mann family of 19th-century American educational reformer Horace Mann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Mann Target entity description: Elizabeth Mann was a member of the prominent Mann family of 19th-century American educational reformer Horace Mann.
-
A.
Anna Murdoch Mann
Anna Murdoch Mann is a Scottish-born journalist and novelist best known as the former wife of media mogul Rupert Murdoch.
-
B.
Mary Lee Woods
Mary Lee Woods was a British mathematician and computer scientist who worked on early computers at Ferranti and was the mother of World Wide Web inventor Tim Berners-Lee.
-
C.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
D.
Nina Bruce Warren
Nina Bruce Warren is an American woman best known as the mother of actor and filmmaker George Clooney.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1719c481909ec3ff03d2a6f3bd |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bcfd2c481908f69df77f40655e2 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c4d9c04819086e3091bbbf16099 |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.