Triple

T1930555
Position Surface form Disambiguated ID Type / Status
Subject Willard F. Libby E40934 entity
Predicate familyName P18 FINISHED
Object Libby
Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
 E217353 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: Libby | Statement: [Willard F. Libby, familyName, Libby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Libby
Context triple: [Willard F. Libby, familyName, Libby]
  • A. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • B. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • C. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • D. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • 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: Libby
Triple: [Willard F. Libby, familyName, Libby]
Generated description
Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Libby
Target entity description: Libby is a surname most notably associated with Willard F. Libby, the American chemist who developed radiocarbon dating and won the Nobel Prize in Chemistry.
  • A. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • B. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • C. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • D. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb296910481908c9668518c09fdb0 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ef29e0819081b37664224dee91 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf598ee5c819081549042859e076f completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6a6cc18819092a4e6535ce1376c completed March 8, 2026, 10:22 p.m.
Created at: March 4, 2026, 7:35 p.m.