Triple

T7539992
Position Surface form Disambiguated ID Type / Status
Subject Alfred V. Aho E178249 entity
Predicate coAuthorWith P398 FINISHED
Object Monica S. Lam E173628 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: Monica S. Lam | Statement: [Alfred V. Aho, coAuthorWith, Monica S. Lam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica S. Lam
Context triple: [Alfred V. Aho, coAuthorWith, Monica S. Lam]
  • A. Monica S. Lam chosen
    Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
  • B. David A. Patterson
    David A. Patterson is a pioneering American computer scientist best known for his work on RISC architecture, RAID storage, and influential computer architecture textbooks.
  • C. Edward D. Lazowska
    Edward D. Lazowska is an American computer scientist known for his influential work in computer systems and performance evaluation, as well as his leadership in computing research and education policy.
  • D. Jeannette M. Wing
    Jeannette M. Wing is a prominent computer scientist known for her influential work on formal methods, software reliability, and the advocacy of "computational thinking" in education and research.
  • E. Daniel A. Menascé
    Daniel A. Menascé is a computer scientist known for his influential work in performance evaluation, capacity planning, and scalable systems, recognized by honors such as the ACM SIGMETRICS Achievement Award.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f873b17081908bb70aea0010d072 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.