Triple

T18949339
Position Surface form Disambiguated ID Type / Status
Subject John F. Clauser E463603 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John F. Clauser, an American physicist and Nobel laureate known for his pioneering work on quantum entanglement and tests of Bell's inequalities.
E466027 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 F. Clauser, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John F. Clauser, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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 F. Clauser, givenName, John]
Generated description
John is the given name of John F. Clauser, an American physicist and Nobel laureate known for his pioneering work on quantum entanglement and tests of Bell's inequalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John F. Clauser, an American physicist and Nobel laureate known for his pioneering work on quantum entanglement and tests of Bell's inequalities.
  • A. John chosen
    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.
  • 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 Hasbrouck Van Vleck, an American physicist and Nobel laureate known for his pioneering work in quantum mechanics and magnetism.
  • D. 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.
  • E. John
    John is the given name of John B. Fenn, the American chemist and Nobel laureate known for his work in electrospray ionization mass spectrometry.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d541ef18819080b2e253dd23835d completed April 20, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad2e3a788190a7f500761499d7ab completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05ae1f18e881909c6292a6a0280987 completed May 14, 2026, 11:12 a.m.
NED2 Entity disambiguation (via description) batch_6a05aec984988190b567c7e3a7823755 completed May 14, 2026, 11:15 a.m.
Created at: April 10, 2026, noon