Triple

T14774906
Position Surface form Disambiguated ID Type / Status
Subject John B. Fenn E347233 entity
Predicate familyName P18 FINISHED
Object Fenn
Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
E1119528 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: Fenn | Statement: [John B. Fenn, familyName, Fenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenn
Context triple: [John B. Fenn, familyName, Fenn]
  • A. Woodruff
    Woodruff is a surname most prominently associated with Judy Woodruff, a longtime American broadcast journalist and former anchor of the PBS NewsHour.
  • B. Fenno
    Fenno is a family surname of English origin borne by individuals such as Olive Augusta Fenno Alger.
  • C. Pfeffer
    Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Fainall
    Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
  • 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: Fenn
Triple: [John B. Fenn, familyName, Fenn]
Generated description
Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fenn
Target entity description: Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
  • A. Woodruff
    Woodruff is a surname most prominently associated with Judy Woodruff, a longtime American broadcast journalist and former anchor of the PBS NewsHour.
  • B. Fenno
    Fenno is a family surname of English origin borne by individuals such as Olive Augusta Fenno Alger.
  • C. Pfeffer
    Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Fainall
    Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec815dd5081909e927911c06b2d66 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfd26fc81909fba39c8705437ed completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe17fc37ec8190b2e9c786a5e7843e completed May 8, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe18786294819080ce5ee0d8af00c9 completed May 8, 2026, 5:08 p.m.
Created at: April 10, 2026, 1:31 a.m.