Triple
T12749974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Kosterlitz |
E304704
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
H. Koster
H. Koster is an alternative name for Hermann Kosterlitz, the German-born British neuroscientist renowned for his pioneering work on endorphins and pain regulation.
|
E1001291
|
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: H. Koster | Statement: [Hermann Kosterlitz, alsoKnownAs, H. Koster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. Koster Context triple: [Hermann Kosterlitz, alsoKnownAs, H. Koster]
-
A.
T. H. Korf
T. H. Korf is a mycologist recognized for his taxonomic work in fungal classification, including the naming of the family Ophiostomataceae.
-
B.
Cornelis H. A. Koster
Cornelis H. A. Koster was a Dutch computer scientist known for his contributions to programming language design and formal language theory.
-
C.
C. van der Leeuw
C. van der Leeuw was a Dutch engineer and architect known for designing the Willemsbrug in Rotterdam.
-
D.
J.M.A. Biesheuvel
J.M.A. Biesheuvel was a Dutch writer renowned for his distinctive, often autobiographical short stories that blend humor with existential and psychological themes.
-
E.
Peter Oskam
Peter Oskam is a Dutch politician and former judge who has served as mayor of Capelle aan den IJssel.
- 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: H. Koster Triple: [Hermann Kosterlitz, alsoKnownAs, H. Koster]
Generated description
H. Koster is an alternative name for Hermann Kosterlitz, the German-born British neuroscientist renowned for his pioneering work on endorphins and pain regulation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H. Koster Target entity description: H. Koster is an alternative name for Hermann Kosterlitz, the German-born British neuroscientist renowned for his pioneering work on endorphins and pain regulation.
-
A.
T. H. Korf
T. H. Korf is a mycologist recognized for his taxonomic work in fungal classification, including the naming of the family Ophiostomataceae.
-
B.
Cornelis H. A. Koster
Cornelis H. A. Koster was a Dutch computer scientist known for his contributions to programming language design and formal language theory.
-
C.
C. van der Leeuw
C. van der Leeuw was a Dutch engineer and architect known for designing the Willemsbrug in Rotterdam.
-
D.
J.M.A. Biesheuvel
J.M.A. Biesheuvel was a Dutch writer renowned for his distinctive, often autobiographical short stories that blend humor with existential and psychological themes.
-
E.
Peter Oskam
Peter Oskam is a Dutch politician and former judge who has served as mayor of Capelle aan den IJssel.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:27 p.m.