Triple
T6495272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayga Ostrower |
E148141
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ostrower |
E558927
|
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: Ostrower | Statement: [Fayga Ostrower, familyName, Ostrower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostrower Context triple: [Fayga Ostrower, familyName, Ostrower]
-
A.
Ostrower
chosen
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
B.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
C.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
D.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab958808190bd85e007e925ffc4 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fdf59548190b4ba4f44716e6b3c |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:53 p.m.