Triple
T1801782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finkelstein |
E39736
|
entity |
| Predicate | hasEtymologicalComponent |
P5801
|
FINISHED |
| Object | Stein |
E122569
|
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: Stein | Statement: [Finkelstein, hasEtymologicalComponent, Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stein Context triple: [Finkelstein, hasEtymologicalComponent, Stein]
-
A.
Stein
chosen
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
-
B.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
C.
Klain
Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
-
D.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
E.
Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5db1c7c81908c25e62dca1cb825 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.