Triple

T3243179
Position Surface form Disambiguated ID Type / Status
Subject Leiden University E68009 entity
Predicate hasNotableAlumni P51 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: [Leiden University, hasNotableAlumni, Albert Einstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Einstein
Context triple: [Leiden University, hasNotableAlumni, 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.