Triple
T16300045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avrom Sutzkever |
E395759
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Smorgon |
E1149434
|
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: Smorgon | Statement: [Avrom Sutzkever, placeOfBirth, Smorgon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smorgon Context triple: [Avrom Sutzkever, placeOfBirth, Smorgon]
-
A.
Smorgon
chosen
Smorgon is a town in present-day Belarus with historical significance as a former part of the Polish–Lithuanian Commonwealth and home to a once-prominent Jewish community.
-
B.
Grodin
Grodin is the surname of Charles Grodin, an American actor, comedian, and writer known for his deadpan performances in film and television.
-
C.
Rashua
Rashua is a small volcanic island in Russia’s Kuril Islands chain in the northwest Pacific Ocean.
-
D.
Slonim
Slonim is a historic town in western Belarus known for its centuries-old role as a regional cultural and trading center.
-
E.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e31c9e8819094593f3aeb44f2ca |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9d7ef48190b7acebebcb9608c3 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.