Triple

T11560438
Position Surface form Disambiguated ID Type / Status
Subject Samuel S. Wilks Memorial Award E274127 entity
Predicate namedAfter P63 FINISHED
Object Samuel S. Wilks E774057 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: Samuel S. Wilks | Statement: [Samuel S. Wilks Memorial Award, namedAfter, Samuel S. Wilks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel S. Wilks
Context triple: [Samuel S. Wilks Memorial Award, namedAfter, Samuel S. Wilks]
  • A. Egon Pearson
    Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
  • B. Samuel Wilks chosen
    Samuel Wilks was an influential American statistician known for his foundational contributions to mathematical statistics and its applications during the mid-20th century.
  • C. Kenneth C. Royall
    Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
  • D. Joseph Graybill
    Joseph Graybill was an early 20th-century American silent film actor who appeared in several D. W. Griffith productions.
  • E. Henry Wilcoxon
    Henry Wilcoxon was a British actor best known for his leading roles in 1930s and 1940s Hollywood epics and for his frequent collaborations with director Cecil B. DeMille.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a899d4481909a3bce3147763b51 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e88b84d48190948243646bb5fd2b completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.