Triple

T12118138
Position Surface form Disambiguated ID Type / Status
Subject Opessa Straight Tail E288618 entity
Predicate hasGivenName P17 FINISHED
Object Opessa
Opessa was a Shawnee leader known for his role in early 18th-century Native American diplomacy and relations with European colonial powers.
 E962660 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: Opessa | Statement: [Opessa Straight Tail, hasGivenName, Opessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opessa
Context triple: [Opessa Straight Tail, hasGivenName, Opessa]
  • A. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • B. Poriem
    Poriem is a legislative assembly constituency in the Indian state of Goa, represented in the Goa Legislative Assembly.
  • C. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • D. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • E. Partanna
    Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
  • 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: Opessa
Triple: [Opessa Straight Tail, hasGivenName, Opessa]
Generated description
Opessa was a Shawnee leader known for his role in early 18th-century Native American diplomacy and relations with European colonial powers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opessa
Target entity description: Opessa was a Shawnee leader known for his role in early 18th-century Native American diplomacy and relations with European colonial powers.
  • A. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • B. Poriem
    Poriem is a legislative assembly constituency in the Indian state of Goa, represented in the Goa Legislative Assembly.
  • C. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • D. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • E. Partanna
    Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f682397c819085a86a98e079660b completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.