Triple

T6765505
Position Surface form Disambiguated ID Type / Status
Subject Henry Eyring E154708 entity
Predicate familyName P18 FINISHED
Object Eyring
Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
E617540 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: Eyring | Statement: [Henry Eyring, familyName, Eyring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eyring
Context triple: [Henry Eyring, familyName, Eyring]
  • A. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • B. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • C. Kaldor
    Kaldor is a surname most prominently associated with Nicholas Kaldor, a 20th-century economist known for his influential contributions to post-Keynesian economic theory.
  • D. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • E. Hasle
    Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
  • 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: Eyring
Triple: [Henry Eyring, familyName, Eyring]
Generated description
Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eyring
Target entity description: Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
  • A. Anholt
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • B. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • C. Kaldor
    Kaldor is a surname most prominently associated with Nicholas Kaldor, a 20th-century economist known for his influential contributions to post-Keynesian economic theory.
  • D. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • E. Hasle
    Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712be7f9c8190b2667fc4c8d5f601 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713842b9c8190ae31eba0bd449968 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71444e9ec8190a68531ed29fd9377 completed March 27, 2026, 11:35 p.m.
Created at: March 27, 2026, 2:12 p.m.