Triple

T17970321
Position Surface form Disambiguated ID Type / Status
Subject Jack Walker E449319 entity
Predicate employer P7 FINISHED
Object Walkersteel 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: Walkersteel | Statement: [Jack Walker, employer, Walkersteel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walkersteel
Context triple: [Jack Walker, employer, Walkersteel]
  • A. Walkersteel chosen
    Walkersteel is a British steel company historically associated with industrial manufacturing and business interests in the UK.
  • B. Steelman
    Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
  • C. Southern Steel
    Southern Steel is a professional netball team based in Invercargill, New Zealand, that competes in the country’s elite domestic netball competitions.
  • D. Steeg
    Steeg is a small village in the Upper Middle Rhine Valley of Germany, known for its historic winegrowing tradition and picturesque setting near Bacharach.
  • E. Steeg
    Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fa67c48190936f20cea45e4599 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.