Triple

T7665957
Position Surface form Disambiguated ID Type / Status
Subject Thomas H. Cormen E173623 entity
Predicate name P16 FINISHED
Object Thomas H. Cormen E173623 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: Thomas H. Cormen | Statement: [Thomas H. Cormen, name, Thomas H. Cormen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas H. Cormen
Context triple: [Thomas H. Cormen, name, Thomas H. Cormen]
  • A. Thomas H. Cormen chosen
    Thomas H. Cormen is a computer scientist and professor emeritus at Dartmouth College, best known as a co-author of the widely used textbook "Introduction to Algorithms."
  • B. Charles E. Leiserson
    Charles E. Leiserson is an American computer scientist and MIT professor renowned for his contributions to algorithms, parallel computing, and computer architecture.
  • C. Michael Sipser
    Michael Sipser is an American theoretical computer scientist known for his influential work in computational complexity theory and for authoring a widely used textbook on the theory of computation.
  • D. Donald E. Knuth
    Donald E. Knuth is an American computer scientist renowned for founding the rigorous analysis of algorithms and authoring the seminal multi-volume work "The Art of Computer Programming."
  • E. David S. Johnson
    David S. Johnson was a prominent American computer scientist known for his influential work in algorithms and computational complexity, particularly in the study of NP-completeness and approximation algorithms.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.