Triple

T4770607
Position Surface form Disambiguated ID Type / Status
Subject Ad Bax E105917 entity
Predicate familyName P18 FINISHED
Object Bax
Bax is a Dutch-American biophysical chemist renowned for pioneering the use of multidimensional nuclear magnetic resonance (NMR) spectroscopy to study the structure and dynamics of biological macromolecules.
 E465962 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: Bax | Statement: [Ad Bax, familyName, Bax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bax
Context triple: [Ad Bax, familyName, Bax]
  • A. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • B. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • C. Batta
    Batta is an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
  • D. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • E. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • 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: Bax
Triple: [Ad Bax, familyName, Bax]
Generated description
Bax is a Dutch-American biophysical chemist renowned for pioneering the use of multidimensional nuclear magnetic resonance (NMR) spectroscopy to study the structure and dynamics of biological macromolecules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bax
Target entity description: Bax is a Dutch-American biophysical chemist renowned for pioneering the use of multidimensional nuclear magnetic resonance (NMR) spectroscopy to study the structure and dynamics of biological macromolecules.
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. Batta
    Batta is an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
  • D. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • E. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655c9a2c8190adce3e2a8a1fa0a7 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a94e340819080fe92a2024abdaf completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3b7d0e3c8190a4c4fabee0299908 completed March 21, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69be3c059b1c819084fa4c30e576fd2e completed March 21, 2026, 6:34 a.m.
Created at: March 20, 2026, 1:21 p.m.