Triple
T9646276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Langer |
E233201
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Cornelia Langer
Cornelia Langer is the child of American historian and U.S. Senator William Langer.
|
E826379
|
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: Cornelia Langer | Statement: [William Langer, hasChild, Cornelia Langer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornelia Langer Context triple: [William Langer, hasChild, Cornelia Langer]
-
A.
Cornelia Seibeld
Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
-
B.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
C.
Elisabeth Moltmann-Wendel
Elisabeth Moltmann-Wendel was a German feminist theologian and author known for her pioneering work in feminist theology and contributions to practical and pastoral theology.
-
D.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
E.
Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
- 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: Cornelia Langer Triple: [William Langer, hasChild, Cornelia Langer]
Generated description
Cornelia Langer is the child of American historian and U.S. Senator William Langer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cornelia Langer Target entity description: Cornelia Langer is the child of American historian and U.S. Senator William Langer.
-
A.
Cornelia Seibeld
Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
-
B.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
C.
Elisabeth Moltmann-Wendel
Elisabeth Moltmann-Wendel was a German feminist theologian and author known for her pioneering work in feminist theology and contributions to practical and pastoral theology.
-
D.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
E.
Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b8122148190bd0af3a04b21e53e |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3f04358819098b2cef9272cbc19 |
completed | April 5, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69d1e6372cec8190b7d6b32da197d89c |
completed | April 5, 2026, 4:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e6af89f88190abe63f8172182f58 |
completed | April 5, 2026, 4:35 a.m. |
Created at: March 30, 2026, 8:12 p.m.