Triple

T8575699
Position Surface form Disambiguated ID Type / Status
Subject Osceola E203042 entity
Predicate spouse P13 FINISHED
Object Che-cho-ter
Che-cho-ter was a Seminole woman known primarily as the wife of the prominent Seminole leader Osceola during the Second Seminole War.
 E742318 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: Che-cho-ter | Statement: [Osceola, spouse, Che-cho-ter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Che-cho-ter
Context triple: [Osceola, spouse, Che-cho-ter]
  • A. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • B. Chut
    The Chut are a small ethnic minority group in Vietnam, culturally and linguistically related to the majority Kinh people but maintaining distinct traditional customs and language varieties.
  • C. Chocho
    Chocho is an indigenous Oto-Manguean language spoken in Oaxaca, Mexico, known for its complex tonal system and endangered status.
  • D. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • E. Chou
    Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • 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: Che-cho-ter
Triple: [Osceola, spouse, Che-cho-ter]
Generated description
Che-cho-ter was a Seminole woman known primarily as the wife of the prominent Seminole leader Osceola during the Second Seminole War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Che-cho-ter
Target entity description: Che-cho-ter was a Seminole woman known primarily as the wife of the prominent Seminole leader Osceola during the Second Seminole War.
  • A. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • B. Chut
    The Chut are a small ethnic minority group in Vietnam, culturally and linguistically related to the majority Kinh people but maintaining distinct traditional customs and language varieties.
  • C. Chocho
    Chocho is an indigenous Oto-Manguean language spoken in Oaxaca, Mexico, known for its complex tonal system and endangered status.
  • D. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • E. Chou
    Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9638c081909a537cc44e485bee completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8995d1d081909f6a27220c2c267e completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8a9ea8308190b09debb8113bc963 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8b0f5dc8819087882c27b27d9a7f completed April 2, 2026, 3:28 p.m.
Created at: March 30, 2026, 6:21 p.m.