Triple

T4828087
Position Surface form Disambiguated ID Type / Status
Subject Star Trek: Strange New Worlds E107873 entity
Predicate featuresCharacter P626 FINISHED
Object Erica Ortegas
Erica Ortegas is a witty and skilled helmsman of the USS Enterprise in the television series "Star Trek: Strange New Worlds."
E475499 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: Erica Ortegas | Statement: [Star Trek: Strange New Worlds, featuresCharacter, Erica Ortegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erica Ortegas
Context triple: [Star Trek: Strange New Worlds, featuresCharacter, Erica Ortegas]
  • A. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • B. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • C. Veronica Anzures
    Veronica Anzures is a neighborhood in Mexico City known for its residential character and proximity to major commercial and cultural areas.
  • D. Rachel Salas
    Rachel Salas is a central character in the science-fiction film "In Time," portrayed as the wealthy and protective mother of Sylvia Weis.
  • E. Mayte Garcia
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • 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: Erica Ortegas
Triple: [Star Trek: Strange New Worlds, featuresCharacter, Erica Ortegas]
Generated description
Erica Ortegas is a witty and skilled helmsman of the USS Enterprise in the television series "Star Trek: Strange New Worlds."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erica Ortegas
Target entity description: Erica Ortegas is a witty and skilled helmsman of the USS Enterprise in the television series "Star Trek: Strange New Worlds."
  • A. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • B. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • C. Veronica Anzures
    Veronica Anzures is a neighborhood in Mexico City known for its residential character and proximity to major commercial and cultural areas.
  • D. Rachel Salas
    Rachel Salas is a central character in the science-fiction film "In Time," portrayed as the wealthy and protective mother of Sylvia Weis.
  • E. Mayte Garcia
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc3dc0481909c8884dbe5043a71 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cb748d081908fc32b2cea994b35 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be607df6648190be22b5bc0d6531b4 completed March 21, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69be611da7c08190b644cfbcb30741fc completed March 21, 2026, 9:13 a.m.
Created at: March 20, 2026, 1:24 p.m.