Triple
T12492326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henryk |
E298594
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Heniek |
E298594
|
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: Heniek | Statement: [Henryk, hasDiminutive, Heniek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heniek Context triple: [Henryk, hasDiminutive, Heniek]
-
A.
Heinie
Heinie was the nickname of Heinie Zimmerman, an early 20th-century American Major League Baseball third baseman known for his strong hitting and involvement in a notorious game-fixing scandal.
-
B.
Feliks
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
-
C.
Ineke Hans
Ineke Hans is a Dutch industrial designer known for her innovative furniture and product designs that blend functionality with playful, conceptual aesthetics.
-
D.
Henryk
chosen
Henryk is a masculine given name of Germanic origin commonly used in Poland and other Central and Eastern European countries.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bab99bc8190abe6dfb7c6a7fe6f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.