Triple

T5622894
Position Surface form Disambiguated ID Type / Status
Subject John H. Schwarz E147649 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the American theoretical physicist John H. Schwarz, a pioneering figure in the development of string theory.
E534864 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: John | Statement: [John H. Schwarz, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John H. Schwarz, givenName, John]
  • A. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • B. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • C. John
    John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
  • D. John
    John is the given first name of American character actor and comedian Rags Ragland.
  • E. John
    John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
  • 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: John
Triple: [John H. Schwarz, givenName, John]
Generated description
John is the given name of the American theoretical physicist John H. Schwarz, a pioneering figure in the development of string theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the American theoretical physicist John H. Schwarz, a pioneering figure in the development of string theory.
  • A. John
    John is the given name of the influential American theoretical physicist John Archibald Wheeler, known for his work in quantum mechanics and general relativity.
  • B. John
    John is the given name of John Robert Schrieffer, the American physicist and Nobel laureate known for co-developing the BCS theory of superconductivity.
  • C. John
    John is the given name of John F. Clauser, an American physicist and Nobel laureate known for his pioneering experimental tests of quantum entanglement and Bell's inequalities.
  • D. John
    John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02214b4948190b71a9f59499092f6 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce1bce4819095559af19cf072f8 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e89b7c481908abae227d22cc814 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f41b158819097f9ef536215e248 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:40 p.m.