Triple

T3616149
Position Surface form Disambiguated ID Type / Status
Subject Muon g-2 experiment E76604 entity
Predicate symbol P129 FINISHED
Object g-2
g-2 is the anomalous magnetic moment of the muon, a precision-measured quantity that tests the Standard Model of particle physics and probes potential new physics.
 E373838 NE FINISHED

How this triple was built (4 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: g-2 | Statement: [Muon g-2 experiment, symbol, g-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: g-2
Context triple: [Muon g-2 experiment, symbol, g-2]
  • A. G-2
    G-2 is the U.S. Army staff designation for the senior intelligence officer responsible for overseeing military intelligence activities and analysis.
  • B. gauss
    The gauss is a unit of magnetic flux density in the centimeter–gram–second (CGS) system, commonly used in physics to measure the strength of magnetic fields.
  • C. G3
    G3 is the IATA airline designator assigned to the Brazilian low-cost carrier GOL Linhas Aéreas Inteligentes.
  • D. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • E. gon
    gon is the ISO 639-3 code for the Gondi language, a Dravidian language spoken by the Gond people in central India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: g-2
Triple: [Muon g-2 experiment, symbol, g-2]
Generated description
g-2 is the anomalous magnetic moment of the muon, a precision-measured quantity that tests the Standard Model of particle physics and probes potential new physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: g-2
Target entity description: g-2 is the anomalous magnetic moment of the muon, a precision-measured quantity that tests the Standard Model of particle physics and probes potential new physics.
  • A. G-2
    G-2 is the U.S. Army staff designation for the senior intelligence officer responsible for overseeing military intelligence activities and analysis.
  • B. gauss
    The gauss is a unit of magnetic flux density in the centimeter–gram–second (CGS) system, commonly used in physics to measure the strength of magnetic fields.
  • C. G3
    G3 is the IATA airline designator assigned to the Brazilian low-cost carrier GOL Linhas Aéreas Inteligentes.
  • D. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • E. gon
    gon is the ISO 639-3 code for the Gondi language, a Dravidian language spoken by the Gond people in central India.
  • F. None of above. chosen

Provenance (5 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27c98088190a493c9eddf6b206a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b438135e8c81909c56e1c04499268b completed March 13, 2026, 4:15 p.m.
NED2 Entity disambiguation (via description) batch_69b4388a1ecc81908e1de9f8bcfc008d completed March 13, 2026, 4:17 p.m.
Created at: March 8, 2026, 3:23 p.m.