Triple

T34126682
Position Surface form Disambiguated ID Type / Status
Subject Jack Steinberger E875299 entity
Predicate notableWork P4 FINISHED
Object Brookhaven neutrino experiment
The Brookhaven neutrino experiment was a landmark mid-20th-century particle physics experiment that provided crucial evidence for the existence of multiple types of neutrinos, helping to establish the lepton family structure in the Standard Model.
E2083110 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: Brookhaven neutrino experiment | Statement: [Jack Steinberger, notableWork, Brookhaven neutrino experiment]
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: Brookhaven neutrino experiment
Triple: [Jack Steinberger, notableWork, Brookhaven neutrino experiment]
Generated description
The Brookhaven neutrino experiment was a landmark mid-20th-century particle physics experiment that provided crucial evidence for the existence of multiple types of neutrinos, helping to establish the lepton family structure in the Standard Model.

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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f49df788190bc397882cd5f6be4 completed May 3, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b77796288190b12f758841e70b9b completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b898418c81909c6d0af53affd7e1 completed June 20, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_6a36b989a6d081908c6873c7dc63cc99 completed June 20, 2026, 4:02 p.m.
Created at: May 1, 2026, 1:53 a.m.