Triple

T10254970
Position Surface form Disambiguated ID Type / Status
Subject Strider E240437 entity
Predicate alsoKnownAs P39 FINISHED
Object Longshanks E54048 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: Longshanks | Statement: [Strider, alsoKnownAs, Longshanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longshanks
Context triple: [Strider, alsoKnownAs, Longshanks]
  • A. Longshanks chosen
    Longshanks is the nickname of King Edward I of England, known for his tall stature, military campaigns in Wales and Scotland, and significant legal and administrative reforms.
  • B. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • C. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • D. Lou Barle
    Lou Barle was a professional basketball player best known for his time with the early National Basketball League team the Oshkosh All-Stars.
  • E. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.