Triple

T10354041
Position Surface form Disambiguated ID Type / Status
Subject Celador Films E243951 entity
Predicate parentOrganization P254 FINISHED
Object Celador
Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
E857930 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: Celador | Statement: [Celador Films, parentOrganization, Celador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celador
Context triple: [Celador Films, parentOrganization, Celador]
  • A. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • B. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • C. Morlupo
    Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
  • D. Caporales
    Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
  • E. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • 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: Celador
Triple: [Celador Films, parentOrganization, Celador]
Generated description
Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celador
Target entity description: Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
  • A. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • B. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • C. Morlupo
    Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
  • D. Caporales
    Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
  • E. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:58 a.m.