Triple

T1507502
Position Surface form Disambiguated ID Type / Status
Subject Sara E33933 entity
Predicate relatedName P3889 FINISHED
Object Sera
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
 E171832 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: Sera | Statement: [Sara, relatedName, Sera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sera
Context triple: [Sara, relatedName, Sera]
  • A. Terrigal
    Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
  • B. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • C. Valmur
    Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
  • D. Senaru
    Senaru is a traditional mountain village on the island of Lombok in Indonesia, known as a popular gateway for treks to Mount Rinjani and for its scenic waterfalls and Sasak culture.
  • E. Qi'ra
    Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
  • 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: Sera
Triple: [Sara, relatedName, Sera]
Generated description
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sera
Target entity description: Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
  • A. Terrigal
    Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
  • B. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • C. Valmur
    Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
  • D. Senaru
    Senaru is a traditional mountain village on the island of Lombok in Indonesia, known as a popular gateway for treks to Mount Rinjani and for its scenic waterfalls and Sasak culture.
  • E. Qi'ra
    Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891c80a88190a813aab099abe2b0 completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad23397c048190b1d2097874ed1792 completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23ac782481909575f00ce3d7b382 completed March 8, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad24411d0081909ab2fab326eecd6d completed March 8, 2026, 7:24 a.m.
Created at: March 4, 2026, 7:24 p.m.