Triple

T5182698
Position Surface form Disambiguated ID Type / Status
Subject Úrsula Corberó E116957 entity
Predicate notableWork P4 FINISHED
Object Isabel
Isabel is a Spanish historical drama television series centered on the life and reign of Queen Isabella I of Castile.
E503203 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: Isabel | Statement: [Úrsula Corberó, notableWork, Isabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel
Context triple: [Úrsula Corberó, notableWork, Isabel]
  • A. Isabel
    Isabel is a feminine given name of Spanish origin, widely used in Spanish- and Portuguese-speaking countries and borne by numerous notable historical and contemporary figures.
  • B. Isabelle
    Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
  • C. Isabel Rivers
    Isabel Rivers is a central character in the adventure novel "Beau Geste," closely connected to the Geste brothers and their dramatic exploits.
  • D. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • E. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • 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: Isabel
Triple: [Úrsula Corberó, notableWork, Isabel]
Generated description
Isabel is a Spanish historical drama television series centered on the life and reign of Queen Isabella I of Castile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabel
Target entity description: Isabel is a Spanish historical drama television series centered on the life and reign of Queen Isabella I of Castile.
  • A. Isabel
    Isabel is a feminine given name of Spanish origin, widely used in Spanish- and Portuguese-speaking countries and borne by numerous notable historical and contemporary figures.
  • B. Isabelle
    Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
  • C. Isabel Rivers
    Isabel Rivers is a central character in the adventure novel "Beau Geste," closely connected to the Geste brothers and their dramatic exploits.
  • D. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • E. Isabella
    Isabella was a 15th-century Aragonese princess who became Queen of Portugal through her marriage to King Manuel I.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799d50388190bf2b7dfdd90949e9 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefb2464081909ee9f05788ef5c30 completed March 21, 2026, 7:21 p.m.
NEDg Description generation batch_69bef05ed6188190a86ec2a3bebd21dc completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef0e41b508190baca5e15efb65ee9 completed March 21, 2026, 7:26 p.m.
Created at: March 20, 2026, 1:46 p.m.