Triple

T12870165
Position Surface form Disambiguated ID Type / Status
Subject High Seas E307826 entity
Predicate hasMainCharacter P1183 FINISHED
Object Dimas
Dimas is a central character in the Spanish mystery drama television series "High Seas," which follows intrigue and secrets aboard a luxury ocean liner in the 1940s.
 E1006347 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: Dimas | Statement: [High Seas, hasMainCharacter, Dimas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dimas
Context triple: [High Seas, hasMainCharacter, Dimas]
  • A. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • B. Darlan
    Darlan is a French surname most notably associated with François Darlan, a prominent admiral and political figure in Vichy France during World War II.
  • C. Marcio
    Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
  • D. Suraci
    Suraci is an Italian surname associated with individuals such as Anna Suraci Benedetto.
  • E. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • 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: Dimas
Triple: [High Seas, hasMainCharacter, Dimas]
Generated description
Dimas is a central character in the Spanish mystery drama television series "High Seas," which follows intrigue and secrets aboard a luxury ocean liner in the 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dimas
Target entity description: Dimas is a central character in the Spanish mystery drama television series "High Seas," which follows intrigue and secrets aboard a luxury ocean liner in the 1940s.
  • A. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • B. Darlan
    Darlan is a French surname most notably associated with François Darlan, a prominent admiral and political figure in Vichy France during World War II.
  • C. Marcio
    Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
  • D. Suraci
    Suraci is an Italian surname associated with individuals such as Anna Suraci Benedetto.
  • E. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69cc60c488190a5a71e25c075e9ff completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.