Triple

T2133542
Position Surface form Disambiguated ID Type / Status
Subject Condoleezza Rice E46597 entity
Predicate familyName P18 FINISHED
Object Rice
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
 E236015 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: Rice | Statement: [Condoleezza Rice, familyName, Rice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rice
Context triple: [Condoleezza Rice, familyName, Rice]
  • A. Oryza sativa
    Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
  • B. Oryza
    Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
  • C. Yam
    Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Menua
    Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
  • 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: Rice
Triple: [Condoleezza Rice, familyName, Rice]
Generated description
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rice
Target entity description: Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
  • A. Oryza sativa
    Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
  • B. Oryza
    Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
  • C. Yam
    Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Menua
    Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba0c42c8190ab3ce4bbf1531ee1 completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51aa86ec8190acf86ac6b26ce4f1 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae5279fb2c8190ac78023ad2974dfb completed March 9, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae52e94ef8819093b4070175a877e1 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.