Triple

T13205098
Position Surface form Disambiguated ID Type / Status
Subject Julius Robert von Mayer E314338 entity
Predicate hasGivenName P17 FINISHED
Object Robert
Robert is the given name of Julius Robert von Mayer, a 19th-century German physician and physicist known as a pioneer in formulating the principle of conservation of energy.
E2918 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: Robert | Statement: [Julius Robert von Mayer, hasGivenName, Robert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert
Context triple: [Julius Robert von Mayer, hasGivenName, Robert]
  • A. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • B. Thomas
    Thomas is the given name of Diamond Pitt, likely used as his personal or first name.
  • C. Thomas
    Thomas is the first name of American country music singer and songwriter Luke Bryan.
  • D. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • E. Thomas
    Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
  • 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: Robert
Triple: [Julius Robert von Mayer, hasGivenName, Robert]
Generated description
Robert is the given name of Julius Robert von Mayer, a 19th-century German physician and physicist known as a pioneer in formulating the principle of conservation of energy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert
Target entity description: Robert is the given name of Julius Robert von Mayer, a 19th-century German physician and physicist known as a pioneer in formulating the principle of conservation of energy.
  • A. Robert chosen
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Robert
    Robert, also known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • C. Robert
    Robert is a fictional character known primarily for his role in the story of "Betrayal."
  • D. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • E. Thomas
    Thomas is the given name of Diamond Pitt, likely used as his personal or first name.
  • F. None of above.

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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9b0cf08190a1d71cc94139539d completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f60eee288190bdb3ed6110394e48 completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f76ade3c8190b46655f104a1ceaa completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:17 p.m.