Triple

T3079317
Position Surface form Disambiguated ID Type / Status
Subject Painted Ladies E64215 entity
Predicate hasOriginator P44909 FINISHED
Object Michael Larsen E64215 NE FINISHED

How this triple was built (3 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: Michael Larsen | Statement: [Painted Ladies, hasOriginator, Michael Larsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Larsen
Context triple: [Painted Ladies, hasOriginator, Michael Larsen]
  • A. Michael Larsen chosen
    Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
  • B. Christopher Tellefsen
    Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
  • C. Tim Lovestedt
    Tim Lovestedt is a screenwriter known for his work on the military drama film "Megan Leavey."
  • D. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • E. Lars Heikensten
    Lars Heikensten is a Swedish economist and former Governor of Sveriges Riksbank who has also held prominent roles in European financial institutions and cultural organizations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginator
Context triple: [Painted Ladies, hasOriginator, Michael Larsen]
  • A. hasOriginIn
    Indicates that something begins, arises, or is derived from a specified source, place, or cause.
  • B. originallyBy chosen
    Indicates that one entity is the original creator, author, or source of another entity.
  • C. originAuthor
    Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
  • D. hasOriginFeature
    Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
  • E. hasNameOrigin
    Indicates that the origin or source of an entity’s name is specified by the related entity.
  • F. None of above.

Provenance (4 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bab35a0819081b6c568606b4c37 completed March 12, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:02 p.m.