Triple
T6596788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Hus |
E148495
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jan
Jan is a common Czech given name, equivalent to "John" in English.
|
E607174
|
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: Jan | Statement: [Jan Hus, givenName, Jan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Context triple: [Jan Hus, givenName, Jan]
-
A.
Jan
Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
-
B.
Jan
Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
-
C.
Jan
Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
-
D.
Jan
Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
-
E.
Jan
Jan is one of the central comic characters in Alan Ayckbourn’s stage play "Bedroom Farce," involved in the interwoven marital mishaps that drive the farcical plot.
- 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: Jan Triple: [Jan Hus, givenName, Jan]
Generated description
Jan is a common Czech given name, equivalent to "John" in English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Target entity description: Jan is a common Czech given name, equivalent to "John" in English.
-
A.
Jan
Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
-
B.
Jan
Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
-
C.
Jan
Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
-
D.
Jan
Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
-
E.
Jan
Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeecdd4c819092b87f4c91883154 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42fc9ec8190a6bb19010337d516 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.