Triple
T15698860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joost Lips |
E380537
|
entity |
| Predicate | correspondedWith |
P4768
|
FINISHED |
| Object | Janus Dousa |
E654664
|
NE FINISHED |
How this triple was built (2 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: Janus Dousa | Statement: [Joost Lips, correspondedWith, Janus Dousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janus Dousa Context triple: [Joost Lips, correspondedWith, Janus Dousa]
-
A.
Janus Dousa
chosen
Janus Dousa was a 16th-century Dutch statesman, humanist scholar, poet, and the first librarian of Leiden University, known for his role in the Dutch Revolt and contributions to classical studies.
-
B.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
-
C.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
D.
Julijan
Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
-
E.
Jost Vacano
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6d71308190971c10c599da9645 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.