Triple

T2673065
Position Surface form Disambiguated ID Type / Status
Subject Fanny Koch E56392 entity
Predicate grandmotherOf P3524 FINISHED
Object Albert Einstein E318 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: Albert Einstein | Statement: [Fanny Koch, grandmotherOf, Albert Einstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Einstein
Context triple: [Fanny Koch, grandmotherOf, Albert Einstein]
  • A. Albert Einstein chosen
    Albert Einstein was a theoretical physicist best known for developing the theory of relativity and fundamentally reshaping modern physics.
  • B. Einstein
    Einstein is a renowned surname most famously associated with theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • C. Thomas Einstein
    Thomas Einstein is a physician and anesthesiologist known for being a great-grandson of physicist Albert Einstein.
  • D. EINSTEIN
    EINSTEIN is a U.S. federal intrusion detection and prevention system used to monitor and protect government agency networks from cyber threats.
  • E. Albert Einstein II
    Albert Einstein II is a lesser-known member of the Einstein family, sharing the famous surname of the renowned theoretical physicist Albert Einstein.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b08b1c8190824342fc63e555d2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb50cec8190aea067e486a5b092 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.