Triple

T31415819
Position Surface form Disambiguated ID Type / Status
Subject North American film market E801389 entity
Predicate mainReportingAgency P102203 FINISHED
Object Box Office Mojo 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: Box Office Mojo | Statement: [North American film market, mainReportingAgency, Box Office Mojo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainReportingAgency
Context triple: [North American film market, mainReportingAgency, Box Office Mojo]
  • A. primaryAgency
    Indicates that one entity serves as the main responsible agent or acting party in relation to another entity or event.
  • B. hasBureau
    Indicates that an entity is associated with or possesses a specific bureau, such as an office, department, or administrative unit.
  • C. publicAgency
    Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
  • D. relevantAgency chosen
    Indicates that an agency has authority, responsibility, or significant involvement in relation to a particular matter, entity, or action.
  • E. countryAgency
    Indicates that a particular agency is officially associated with, operates within, or is governed by a specific country.
  • F. None of above.

Provenance (3 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_69f348c0dd648190bf2fd7642f78eb06 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a916d2e08190bafc01cba73b6469 completed May 3, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69f6a7548eb48190a69b60a3c6ad53b9 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 8:43 p.m.