Triple

T20201439
Position Surface form Disambiguated ID Type / Status
Subject William Few E493228 entity
Predicate familyName P18 FINISHED
Object Few 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: Few | Statement: [William Few, familyName, Few]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Few
Context triple: [William Few, familyName, Few]
  • A. Few chosen
    Few is an English-language surname borne by various notable individuals, including American politician and Founding Father William Few.
  • B. Often
    "Often" is a moody, R&B-influenced track by The Weeknd that showcases his dark, sensual style and became one of the standout hits from his album *Beauty Behind the Madness*.
  • C. Less
    Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
  • D. Slightly
    Slightly is one of the Lost Boys in J.M. Barrie’s Peter Pan stories, known for his forgetfulness and somewhat vain, muddled personality.
  • E. Gering
    Gering is a small city in western Nebraska known as a gateway to nearby natural and historical attractions such as Scotts Bluff National Monument.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8e0df481909c030e2a01d1862a completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.