Triple
T3782839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmidt |
E85459
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object | Kovács |
E163516
|
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: Kovács | Statement: [Schmidt, cognateWith, Kovács]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kovács Context triple: [Schmidt, cognateWith, Kovács]
-
A.
Kovács
chosen
Kovács is a common Hungarian surname equivalent to the English surname Smith, traditionally associated with the occupation of a blacksmith.
-
B.
Takács
Takács is a Hungarian surname borne by numerous notable individuals across fields such as sports, music, and academia.
-
C.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
-
D.
János
János is the Hungarian form of the given name John, commonly used in Hungary and among Hungarian speakers.
-
E.
András
András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3db11108190aa81ee8ed22709fe |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04353a881908e612a10572eb8c5 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.