Triple
T1395977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Ehrlich |
E30665
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
|
E295822
|
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: Stefanie Ehrlich | Statement: [Paul Ehrlich, hasChild, Stefanie Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefanie Ehrlich Context triple: [Paul Ehrlich, hasChild, Stefanie Ehrlich]
-
A.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
B.
Anna Steiger
Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
-
C.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
D.
Catherine Stihler
Catherine Stihler is a Scottish former Labour MEP and political figure who has gone on to lead major digital and open knowledge organizations.
-
E.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
- 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: Stefanie Ehrlich Triple: [Paul Ehrlich, hasChild, Stefanie Ehrlich]
Generated description
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefanie Ehrlich Target entity description: Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
A.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
B.
Anna Steiger
Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
-
C.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
D.
Catherine Stihler
Catherine Stihler is a Scottish former Labour MEP and political figure who has gone on to lead major digital and open knowledge organizations.
-
E.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37fd6e0819084d610ef041db3af |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbba3f0ec81909c73a0e3a0e0d3f2 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbcd294cc819094e13bd85266c3cc |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd452e1c8190a3ee9eaf642e80a0 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 1, 2026, 7:59 p.m.