Triple
T9548771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermy Finkelstein |
E230364
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jermy Finkelstein |
E230364
|
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: Jermy Finkelstein | Statement: [Jermy Finkelstein, name, Jermy Finkelstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jermy Finkelstein Context triple: [Jermy Finkelstein, name, Jermy Finkelstein]
-
A.
Jermy Finkelstein
chosen
Jermy Finkelstein is an individual notable enough to be recognized as a bearer of the surname Finkelstein.
-
B.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
C.
Joshua Jortner
Joshua Jortner is an Israeli physical chemist renowned for his pioneering work in molecular dynamics and chemical physics, and for his influential role in advancing Israel’s scientific community.
-
D.
Benjy Eisen
Benjy Eisen is a music journalist and author best known for co-writing memoirs with Grateful Dead drummer Bill Kreutzmann.
-
E.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99059138819088ae54b26df979cf |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190d741588190a2cced8da13036bb |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 8:02 p.m.