Triple
T8644016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houben |
E204726
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Katrin Houben
Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
|
E762785
|
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: Katrin Houben | Statement: [Houben, hasNotableBearer, Katrin Houben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katrin Houben Context triple: [Houben, hasNotableBearer, Katrin Houben]
-
A.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
-
B.
Ute Grunert
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
-
C.
Kathrin Zettel
Kathrin Zettel is a retired Austrian alpine ski racer best known as a technical specialist who won multiple World Cup races and an Olympic bronze medal in slalom.
-
D.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
E.
Monika Hohlmeier
Monika Hohlmeier is a German politician from the Christian Social Union (CSU) who has served as a Member of the European Parliament, known for her work on budgetary control and civil liberties.
- 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: Katrin Houben Triple: [Houben, hasNotableBearer, Katrin Houben]
Generated description
Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katrin Houben Target entity description: Katrin Houben is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Houben.
-
A.
Sabine Völker
Sabine Völker is a German speed skater known for winning an Olympic bronze medal in the 500 m event at the 2002 Winter Games.
-
B.
Ute Grunert
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
-
C.
Kathrin Zettel
Kathrin Zettel is a retired Austrian alpine ski racer best known as a technical specialist who won multiple World Cup races and an Olympic bronze medal in slalom.
-
D.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
E.
Monika Hohlmeier
Monika Hohlmeier is a German politician from the Christian Social Union (CSU) who has served as a Member of the European Parliament, known for her work on budgetary control and civil liberties.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4798852881909c03c5eadf805e49 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa00aa93c819094884d5bbaa5a264 |
completed | April 3, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_69cfa14f0f3c8190bf7081e51410a491 |
completed | April 3, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa28589708190b8fc32f4944d0a37 |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:28 p.m.