Triple
T3713645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. L. Peretz |
E81473
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Peretz |
E81473
|
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: Peretz | Statement: [I. L. Peretz, familyName, Peretz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peretz Context triple: [I. L. Peretz, familyName, Peretz]
-
A.
Peretz
chosen
Peretz is a Jewish surname most famously associated with I. L. Peretz, a seminal Yiddish and Hebrew writer of the late 19th and early 20th centuries.
-
B.
Peretz Naftali
Peretz Naftali was an Israeli economist and politician who served as a minister in Israel’s early governments and was a member of the Knesset for the Mapai party.
-
C.
Peretz Rosenbaum
Peretz Rosenbaum, better known as Paul Rand, was a pioneering American graphic designer renowned for his influential corporate logo designs for companies such as IBM, ABC, and UPS.
-
D.
Motke Ganef
Motke Ganef is a Yiddish novel by Sholem Asch that follows the life and moral struggles of a Jewish thief in Eastern European shtetl society.
-
E.
Meir Teper
Meir Teper is a film producer best known for his work on notable movies such as "What's Eating Gilbert Grape."
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ccfad081908730ed15c6f87ce2 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53367ad5c81909f7bcbbc967514b7 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 8, 2026, 3:33 p.m.