Triple

T22149330
Position Surface form Disambiguated ID Type / Status
Subject Thomas Dixon Perkin E547371 entity
Predicate hasFamilyName P18 FINISHED
Object Perkin 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: Perkin | Statement: [Thomas Dixon Perkin, hasFamilyName, Perkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perkin
Context triple: [Thomas Dixon Perkin, hasFamilyName, Perkin]
  • A. Perkin chosen
    Perkin is a surname most famously associated with William Henry Perkin, the English chemist who discovered the first synthetic dye, mauveine.
  • B. Perkin & Sons
    Perkin & Sons was the chemical manufacturing company established by William Henry Perkin to commercialize his pioneering synthetic dye discoveries, including the first aniline dye, mauveine.
  • C. Beckman
    Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
  • D. Ostwald
    Ostwald is a German surname most notably associated with Nobel Prize–winning chemist Wilhelm Ostwald.
  • E. Coumet
    Coumet is a French surname most notably borne by Jérôme Coumet, a contemporary French politician.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f2c0e881909c3488bb5eb5959d completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.