Triple

T15063522
Position Surface form Disambiguated ID Type / Status
Subject Clarksville, Texas E379695 entity
Predicate namedAfter P63 FINISHED
Object James Clark E379695 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: James Clark | Statement: [Clarksville, Texas, namedAfter, James Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Clark
Context triple: [Clarksville, Texas, namedAfter, James Clark]
  • A. James Clark
    James Clark is a notable figure in the web and technology community recognized for his significant contributions to open standards and digital publishing.
  • B. James Clark chosen
    James Clark was an early settler and prominent figure in Texas history after whom the city of Clarksville, Texas, was named.
  • C. James Clark
    James Clark was a Chicago gangster and brother-in-law of mob boss Bugs Moran who was killed in the infamous 1929 Saint Valentine’s Day Massacre.
  • D. J. P. Clark
    J. P. Clark was a prominent Nigerian poet and playwright, regarded as one of the leading figures of modern African literature.
  • E. Charles Clark
    Charles Clark is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.