Triple

T13176833
Position Surface form Disambiguated ID Type / Status
Subject K. C. Nicolaou E313119 entity
Predicate doctoralStudent P167 FINISHED
Object Phil S. Baran E86827 NE FINISHED

How this triple was built (2 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: Phil S. Baran | Statement: [K. C. Nicolaou, doctoralStudent, Phil S. Baran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil S. Baran
Context triple: [K. C. Nicolaou, doctoralStudent, Phil S. Baran]
  • A. Phil S. Baran chosen
    Phil S. Baran is an American chemist renowned for his innovative work in synthetic organic chemistry and natural product synthesis.
  • B. Nadrian Seeman
    Nadrian Seeman was a pioneering chemist and nanotechnologist best known for founding the field of DNA nanotechnology by using DNA to create designed nanoscale structures and devices.
  • C. Michael Ehrlich
    Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
  • D. Eli Yablonovitch
    Eli Yablonovitch is an American physicist and engineer renowned as a pioneer of photonic crystals and a leading figure in the field of photonics and optoelectronics.
  • E. Samuel J. Danishefsky
    Samuel J. Danishefsky is an American chemist renowned for his pioneering work in complex natural product synthesis and contributions to medicinal chemistry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ea93bc81908087326b3d043727 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.