Triple

T20122591
Position Surface form Disambiguated ID Type / Status
Subject Enrico Colantoni E490648 entity
Predicate notableWork P4 FINISHED
Object Travelers NE NERFINISHED

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: Travelers | Statement: [Enrico Colantoni, notableWork, Travelers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelers
Context triple: [Enrico Colantoni, notableWork, Travelers]
  • A. Travelers
    Travelers is a major American insurance brand known for providing a wide range of property and casualty insurance products to individuals and businesses.
  • B. Travelers chosen
    Travelers is a Canadian science fiction television series about time-traveling operatives sent from a dystopian future to prevent societal collapse.
  • C. Travelers
    Travelers is a novel by American author Phil Stong, best known for its portrayal of Midwestern American life.
  • D. Traveler
    Traveler is the white horse that serves as the live mascot at University of Southern California athletic events, especially USC Trojans football games.
  • E. Traveler
    Traveler is the introspective, bohemian protagonist of Julio Cortázar’s novel "Rayuela" ("Hopscotch"), whose existential wanderings through Paris and Buenos Aires explore themes of love, identity, and meaning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673f5b4c8190bf9fb5f4e6b6a452 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.