Triple

T8405919
Position Surface form Disambiguated ID Type / Status
Subject Jacques-Louis Macie E198496 entity
Predicate willWrittenIn P81824 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: [Jacques-Louis Macie, willWrittenIn, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Jacques-Louis Macie, willWrittenIn, 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. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • 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: willWrittenIn
Context triple: [Jacques-Louis Macie, willWrittenIn, Paris]
  • A. writtenIn
    Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
  • B. wroteIn
    Indicates that an entity authored or composed something using a particular language, medium, or writing system.
  • C. isWritten
    Indicates that a text, document, or content has been created or recorded in written form by an agent.
  • D. areWrittenOn
    Indicates that one entity serves as a surface or medium on which another entity is inscribed, recorded, or written.
  • E. canBeWrittenIn
    Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cd748708190a353469043f3046a completed April 2, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69cb70d473dc8190af8ea81ee5aa970d completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76da264881909483b835e1db06da completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 6:05 p.m.