Triple

T11687130
Position Surface form Disambiguated ID Type / Status
Subject Christopher Zeeman E277772 entity
Predicate familyName P18 FINISHED
Object Zeeman E535675 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: Zeeman | Statement: [Christopher Zeeman, familyName, Zeeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeeman
Context triple: [Christopher Zeeman, familyName, Zeeman]
  • A. Zeeman chosen
    Zeeman is a Dutch surname most famously associated with physicist Pieter Zeeman, after whom the Zeeman effect in spectroscopy is named.
  • B. Zeeman effect
    The Zeeman effect is the splitting of atomic or molecular spectral lines into multiple components when subjected to an external magnetic field, revealing information about energy levels and magnetic moments.
  • C. De Haas
    De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
  • D. Infeld
    Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
  • E. Slichter
    Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14431f3c81908af9167c46f8c2bc completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.