Triple

T4840157
Position Surface form Disambiguated ID Type / Status
Subject Piers Sellers E108157 entity
Predicate givenName P17 FINISHED
Object Piers E155806 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: Piers | Statement: [Piers Sellers, givenName, Piers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piers
Context triple: [Piers Sellers, givenName, Piers]
  • A. Piers chosen
    Piers is a masculine given name of English origin, historically used as a medieval form of Peter and borne by various notable figures in literature and public life.
  • B. G Pier
    G Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • C. Piers Courage
    Piers Courage was a British racing driver best known for competing in Formula One during the late 1960s and early 1970s.
  • D. Simon Pond
    Simon Pond is a small lake in the Adirondack region of New York State, known for its quiet waters and outdoor recreation opportunities such as fishing and paddling.
  • E. H Pier
    H Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cfbfbb08190b4580ebb2eb845b2 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cca17d881909a58c84549633701 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.