Triple

T4713573
Position Surface form Disambiguated ID Type / Status
Subject Peder E104575 entity
Predicate relatedName P3889 FINISHED
Object Petter E427280 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: Petter | Statement: [Peder, relatedName, Petter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petter
Context triple: [Peder, relatedName, Petter]
  • A. Petter chosen
    Petter is a masculine given name commonly used in Scandinavian countries, equivalent to the English name Peter.
  • B. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • C. Peters
    Peters is a central crew member and medical technician aboard the rescue vessel Lewis and Clark in the 1997 science fiction horror film "Event Horizon."
  • D. Peters
    Peters is a set of early United States Supreme Court case reports compiled by Richard Peters, later incorporated into the official United States Reports.
  • E. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6407659481908bcdc063d7b3da00 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108002e08190b13856f2af135bfc completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.