Triple

T1753800
Position Surface form Disambiguated ID Type / Status
Subject Richard Matheson E38505 entity
Predicate wrote P2831 FINISHED
Object Steel E171792 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: Steel | Statement: [Richard Matheson, wrote, Steel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steel
Context triple: [Richard Matheson, wrote, Steel]
  • A. Steel chosen
    Steel is a 1997 superhero film based on the DC Comics character John Henry "Steel" Irons, featuring Shaquille O'Neal in the title role.
  • B. Steel
    Steel is a Scottish Liberal Democrat politician who served as leader of the Liberal Party and was the first Presiding Officer of the Scottish Parliament.
  • C. Damascene steel
    Damascene steel is a famed historical type of patterned, high-carbon steel renowned for its exceptional strength, sharpness, and distinctive wavy surface designs used in swords and blades.
  • D. Steelman
    Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
  • E. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada98c303081908346dc66ad3575a5 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.