Triple
T2469772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Ruth |
E55341
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Herman
Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
|
E269660
|
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: Herman | Statement: [Babe Ruth, middleName, Herman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herman Context triple: [Babe Ruth, middleName, Herman]
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
-
C.
Hermann
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
- 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: Herman Triple: [Babe Ruth, middleName, Herman]
Generated description
Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herman Target entity description: Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
-
C.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
D.
Hermann
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
-
E.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd135c64881908cccde3317d14b67 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a29c2c8190b9e7b49d086ad9d5 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af183b63848190ac62869b1fdb672c |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18fc1a0c8190aeb24f304cbba35b |
completed | March 9, 2026, 7:01 p.m. |
Created at: March 6, 2026, 9:44 p.m.