Triple

T21554169
Position Surface form Disambiguated ID Type / Status
Subject Stallings E531841 entity
Predicate hasNotableBearer P458 FINISHED
Object William Stallings NE NERFINISHED

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: William Stallings | Statement: [Stallings, hasNotableBearer, William Stallings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Stallings
Context triple: [Stallings, hasNotableBearer, William Stallings]
  • A. William Stallings chosen
    William Stallings is a computer scientist and author best known for his widely used textbooks on computer organization, networking, and security.
  • B. Gale E. Halderman
    Gale E. Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
  • C. John Kelsey
    John Kelsey is an American cryptographer known for his contributions to symmetric-key cryptography and the design of several notable encryption algorithms.
  • D. Peter J. Denning
    Peter J. Denning is an American computer scientist renowned for his foundational work in operating systems, particularly virtual memory, and for his leadership in advancing the science and practice of computing.
  • E. Leon J. Osterweil
    Leon J. Osterweil is a prominent computer scientist known for his influential contributions to software engineering, particularly in software process modeling and analysis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2de1c248190b303a4a55b022374 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.