Triple

T8995771
Position Surface form Disambiguated ID Type / Status
Subject Amos B. Smith III E214901 entity
Predicate notableStudent P4838 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: [Amos B. Smith III, notableStudent, Phil S. Baran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil S. Baran
Context triple: [Amos B. Smith III, notableStudent, 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d0e6a08190a2faf4157b8a9cd4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.