Triple

T12590764
Position Surface form Disambiguated ID Type / Status
Subject Joan A. Steitz E300597 entity
Predicate familyName P18 FINISHED
Object Steitz
Steitz is the surname of Joan A. Steitz, a prominent American molecular biologist known for her pioneering work on RNA.
 E993797 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: Steitz | Statement: [Joan A. Steitz, familyName, Steitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steitz
Context triple: [Joan A. Steitz, familyName, Steitz]
  • A. Gribskov
    Gribskov is one of Denmark’s largest and oldest forests, known for its diverse woodland landscapes, rich wildlife, and extensive network of walking and cycling trails.
  • B. Steedman
    Steedman is a surname of English and Scottish origin borne by various notable individuals across fields such as academia, the military, and the arts.
  • C. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • D. Sanger
    Sanger is a small city in California’s San Joaquin Valley known for its agricultural economy and proximity to Fresno.
  • E. Sanger
    Sanger is the surname of Frederick Sanger, the pioneering British biochemist and double Nobel Prize laureate in Chemistry known for his work on protein and DNA sequencing.
  • 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: Steitz
Triple: [Joan A. Steitz, familyName, Steitz]
Generated description
Steitz is the surname of Joan A. Steitz, a prominent American molecular biologist known for her pioneering work on RNA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steitz
Target entity description: Steitz is the surname of Joan A. Steitz, a prominent American molecular biologist known for her pioneering work on RNA.
  • A. Gribskov
    Gribskov is one of Denmark’s largest and oldest forests, known for its diverse woodland landscapes, rich wildlife, and extensive network of walking and cycling trails.
  • B. Steedman
    Steedman is a surname of English and Scottish origin borne by various notable individuals across fields such as academia, the military, and the arts.
  • C. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • D. Sanger
    Sanger is a small city in California’s San Joaquin Valley known for its agricultural economy and proximity to Fresno.
  • E. Sanger
    Sanger is the surname of Frederick Sanger, the pioneering British biochemist and double Nobel Prize laureate in Chemistry known for his work on protein and DNA sequencing.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.