Triple
T7299984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John |
E167820
|
entity |
| Predicate | hasFormInLanguage |
P6281
|
FINISHED |
| Object |
Jan (Dutch/Polish/Czech, etc.)
Jan is a common given name in several European languages (such as Dutch, Polish, and Czech), equivalent to the English name John.
|
E655158
|
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 (Dutch/Polish/Czech, etc.) | Statement: [John, hasFormInLanguage, Jan (Dutch/Polish/Czech, etc.)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan (Dutch/Polish/Czech, etc.) Context triple: [John, hasFormInLanguage, Jan (Dutch/Polish/Czech, etc.)]
-
A.
JANU
JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
-
B.
JAN
JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
-
C.
Janek
Janek is the gruff but good-natured captain of the spaceship Prometheus in Ridley Scott’s 2012 science fiction film.
-
D.
Marta (Polish)
Marta is a common Polish female given name, equivalent to Martha, traditionally associated with Christian and European naming traditions.
-
E.
Joppe
Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
- 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 (Dutch/Polish/Czech, etc.) Triple: [John, hasFormInLanguage, Jan (Dutch/Polish/Czech, etc.)]
Generated description
Jan is a common given name in several European languages (such as Dutch, Polish, and Czech), equivalent to the English name John.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan (Dutch/Polish/Czech, etc.) Target entity description: Jan is a common given name in several European languages (such as Dutch, Polish, and Czech), equivalent to the English name John.
-
A.
JANU
JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
-
B.
JAN
JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
-
C.
Janek
Janek is the gruff but good-natured captain of the spaceship Prometheus in Ridley Scott’s 2012 science fiction film.
-
D.
Marta (Polish)
Marta is a common Polish female given name, equivalent to Martha, traditionally associated with Christian and European naming traditions.
-
E.
Joppe
Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e550645c819085effd46dff60f09 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e67a988881909b3d53ab8da43a8e |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e71dc39c8190951424cb543d58df |
completed | March 28, 2026, 2:35 p.m. |
Created at: March 27, 2026, 3:01 p.m.