Triple

T10524050
Position Surface form Disambiguated ID Type / Status
Subject Betty Blue E248249 entity
Predicate mainCharacter P1183 FINISHED
Object Zorg
Zorg is the introspective handyman and aspiring writer who serves as the central male protagonist in the French film "Betty Blue."
 E869317 NE FINISHED

How this triple was built (4 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: Zorg | Statement: [Betty Blue, mainCharacter, Zorg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zorg
Context triple: [Betty Blue, mainCharacter, Zorg]
  • A. Health of the sick
    "Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
  • B. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • C. Liatroim
    Liatroim is the Irish-language name for County Leitrim, a rural county in the northwest of Ireland known for its lakes, mountains, and sparse population.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Healsio
    Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zorg
Triple: [Betty Blue, mainCharacter, Zorg]
Generated description
Zorg is the introspective handyman and aspiring writer who serves as the central male protagonist in the French film "Betty Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zorg
Target entity description: Zorg is the introspective handyman and aspiring writer who serves as the central male protagonist in the French film "Betty Blue."
  • A. Health of the sick
    "Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
  • B. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • C. Liatroim
    Liatroim is the Irish-language name for County Leitrim, a rural county in the northwest of Ireland known for its lakes, mountains, and sparse population.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Healsio
    Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107e8b94819086ebba1675a0db54 completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911a16b1481909197b00c30de48c4 completed April 10, 2026, 3:05 p.m.
Created at: April 6, 2026, 12:29 p.m.