Triple

T12782000
Position Surface form Disambiguated ID Type / Status
Subject The Fall E305529 entity
Predicate protagonistFormerResidence P4907 FINISHED
Object Paris E107832 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: [The Fall, protagonistFormerResidence, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [The Fall, protagonistFormerResidence, Paris]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris chosen
    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. Paris
    "Paris" is a 2017 electronic dance music single by The Chainsmokers that became a major international hit.
  • 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: protagonistFormerResidence
Context triple: [The Fall, protagonistFormerResidence, Paris]
  • A. formerResidenceOf chosen
    Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
  • B. residenceAtStartOfFilm
    Indicates the place where a person or character is living at the beginning of the film.
  • C. protagonistOrigin
    Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
  • D. protagonistBackground
    Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
  • E. residenceDuringLife
    Indicates that an entity lived or resided in a particular place during some period of its lifetime.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dfce0c8190b3b8260450bd6967 completed May 2, 2026, 11:12 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.