Triple
T9600454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asher Peres |
E231834
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Peres |
E47760
|
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: Peres | Statement: [Asher Peres, familyName, Peres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peres Context triple: [Asher Peres, familyName, Peres]
-
A.
Peres
chosen
Peres is a surname most notably associated with Shimon Peres, a former President and Prime Minister of Israel and Nobel Peace Prize laureate.
-
B.
Peretz
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.
-
C.
Rabin
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
D.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
E.
Mor Harchol-Balter
Mor Harchol-Balter is a prominent computer scientist known for her influential work in performance evaluation, queuing theory, and scheduling in computer systems.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3934d481908400a63335d644bd |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161a4a7ac81909060a929e5489512 |
completed | April 4, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:07 p.m.