Triple
T4366917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Eisenstein |
E98797
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ira Eisenstein |
E98797
|
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: Ira Eisenstein | Statement: [Ira Eisenstein, name, Ira Eisenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ira Eisenstein Context triple: [Ira Eisenstein, name, Ira Eisenstein]
-
A.
Ira Eisenstein
chosen
Ira Eisenstein was an American rabbi and theologian who helped found and shape Reconstructionist Judaism as a distinct modern Jewish movement.
-
B.
Ira Shor
Ira Shor is an American educator and critical pedagogue known for advancing radical, student-centered approaches to teaching and learning inspired by Paulo Freire’s theories.
-
C.
Ira Hirschmann
Ira Hirschmann was an American businessman and diplomat best known for his World War II efforts to rescue Jews from the Holocaust and his later work in international affairs.
-
D.
Irving Brecher
Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
-
E.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32f31ecc81909cb29b762481b08e |
completed | March 22, 2026, 12:08 a.m. |
Created at: March 12, 2026, 11:17 p.m.