Triple

T11112849
Position Surface form Disambiguated ID Type / Status
Subject Peris E262803 entity
Predicate isVariantOf P455 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: [Peris, isVariantOf, Peres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peres
Context triple: [Peris, isVariantOf, 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. Yuval Peres
    Yuval Peres is an Israeli-American mathematician renowned for his contributions to probability theory, ergodic theory, and random processes, and for his influential work at institutions such as Microsoft Research.
  • C. Pessin
    Pessin is a small municipality in the Havelland district of the German federal state of Brandenburg.
  • D. 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.
  • E. Rabin
    Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa523588190a25d241ccc6a9679 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496a593c4819090d295119ce50e48 completed April 19, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:27 p.m.