Triple
T6248447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Hufstedler |
E139982
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
|
E582258
|
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: Hufstedler | Statement: [Shirley Hufstedler, familyName, Hufstedler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hufstedler Context triple: [Shirley Hufstedler, familyName, Hufstedler]
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Hassler
Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
-
C.
Stüler
Stüler is the surname of Friedrich August Stüler, a prominent 19th-century Prussian architect known for his neoclassical and neo-Renaissance designs.
-
D.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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: Hufstedler Triple: [Shirley Hufstedler, familyName, Hufstedler]
Generated description
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hufstedler Target entity description: Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Hassler
Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
-
C.
Stüler
Stüler is the surname of Friedrich August Stüler, a prominent 19th-century Prussian architect known for his neoclassical and neo-Renaissance designs.
-
D.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633a9a048190856d5247d3b28a2e |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5191d2d248190b34edca246ee74b8 |
completed | March 26, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69c51ac2c2f88190a4e12725a5044fa9 |
completed | March 26, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c582c674e0819083b3d5c4c7eb7826 |
completed | March 26, 2026, 7:02 p.m. |
Created at: March 22, 2026, 4:24 p.m.