Triple

T21038675
Position Surface form Disambiguated ID Type / Status
Subject Richard Littlejohn E518259 entity
Predicate familyName P18 FINISHED
Object Littlejohn 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: Littlejohn | Statement: [Richard Littlejohn, familyName, Littlejohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littlejohn
Context triple: [Richard Littlejohn, familyName, Littlejohn]
  • A. Littlejohn chosen
    Littlejohn is a surname of English and Scottish origin borne by various notable individuals, including American Episcopal bishop Abram Newkirk Littlejohn.
  • B. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • C. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • D. Rowland
    Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
  • E. Souter Johnnie
    Souter Johnnie is a jovial cobbler character from Robert Burns’s narrative poem "Tam o' Shanter," known as the protagonist’s hard-drinking companion.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcee13b08190a8b3372f6759cd1b completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:12 p.m.