Triple

T15426979
Position Surface form Disambiguated ID Type / Status
Subject Davis Wade Stadium E369535 entity
Predicate hasNickname P39 FINISHED
Object Scott Field E1156176 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: Scott Field | Statement: [Davis Wade Stadium, hasNickname, Scott Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Field
Context triple: [Davis Wade Stadium, hasNickname, Scott Field]
  • A. Scott Field chosen
    Scott Field is the playing surface and primary football field located within Davis Wade Stadium at Mississippi State University.
  • B. Stephen J. Field
    Stephen J. Field was a 19th-century Associate Justice of the U.S. Supreme Court known for his strong defense of economic liberties and influential role in shaping substantive due process jurisprudence.
  • C. Thomas Prosser
    Thomas Prosser was a 19th-century British railway architect best known for designing major stations such as York railway station.
  • D. Justice Stephen Norrish
    Justice Stephen Norrish is an Australian jurist who has served as a judge of the Supreme Court of the Australian Capital Territory.
  • E. William Dummer Powell
    William Dummer Powell was a prominent early Canadian jurist who served as Chief Justice of Upper Canada in the late 18th and early 19th centuries.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a18c548190b8591776828c1793 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.