Triple
T2466161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mihajlo Idvorski Pupin |
E55252
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mihajlo |
E55252
|
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: Mihajlo | Statement: [Mihajlo Idvorski Pupin, givenName, Mihajlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihajlo Context triple: [Mihajlo Idvorski Pupin, givenName, Mihajlo]
-
A.
Mihajlo
chosen
Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
-
B.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
C.
Miroslav
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
-
D.
Saša
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
-
E.
Jovan Cvijić
Jovan Cvijić was a prominent Serbian geographer and ethnologist known for his pioneering work on the geography and ethnography of the Balkan Peninsula.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd122db8881909ef3c0a1df7ff7a5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f84e1a481908fa67498f2bd1984 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:44 p.m.