Triple

T5381377
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Monsieur Bertin E113090 entity
Predicate sitterBirthPlace P63658 FINISHED
Object Paris E568 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: Paris | Statement: [Portrait of Monsieur Bertin, sitterBirthPlace, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Portrait of Monsieur Bertin, sitterBirthPlace, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • D. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • E. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • 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: sitterBirthPlace
Context triple: [Portrait of Monsieur Bertin, sitterBirthPlace, Paris]
  • A. sitterNationality
    Indicates the national identity or citizenship of the person who is sitting for a portrait or being depicted.
  • B. sitter
    Indicates that one entity is serving as a caretaker or guardian, typically watching over or looking after another entity.
  • C. nearBirthplaceOf
    Indicates that one entity is located close to the place where another entity was born.
  • D. residenceOfParentsAtTimeOfBirth
    Indicates the place where a person's parents were living at the time of that person's birth.
  • E. birthPlaceOfChildren
    Indicates the location where a person's children were born.
  • F. None of above. chosen

Provenance (5 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd88801b188190b9ac35ed89167fa3 completed March 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a96fba481909659b13425951068 completed March 22, 2026, 12:40 a.m.
PD Predicate disambiguation batch_69bd846172788190969f24bc7503c05e completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd887f5b0081909456992d1a071928 completed March 20, 2026, 5:48 p.m.
Created at: March 20, 2026, 2:03 p.m.