Triple

T442439
Position Surface form Disambiguated ID Type / Status
Subject Doc E10140 entity
Predicate familyName P18 FINISHED
Object Rivers
Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
E55565 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: Rivers | Statement: [Doc, familyName, Rivers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivers
Context triple: [Doc, familyName, Rivers]
  • A. River
    "River" is a melancholic 1971 folk song by Joni Mitchell, often associated with the holiday season and emotional heartbreak.
  • B. Opalescent River
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • C. Les Rivières
    Les Rivières is a borough of Quebec City known for its mix of residential neighborhoods, commercial areas, and light industrial zones.
  • D. Yodo River
    The Yodo River is a major waterway in Japan’s Kansai region that flows through Kyoto and Osaka, historically serving as an important route for transport, trade, and urban development.
  • E. Walkill River
    The Walkill River is a north-flowing river in New Jersey and New York that drains part of the Appalachian Valley before joining the Hudson River.
  • 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: Rivers
Triple: [Doc, familyName, Rivers]
Generated description
Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rivers
Target entity description: Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
  • A. River
    "River" is a melancholic 1971 folk song by Joni Mitchell, often associated with the holiday season and emotional heartbreak.
  • B. Opalescent River
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • C. Les Rivières
    Les Rivières is a borough of Quebec City known for its mix of residential neighborhoods, commercial areas, and light industrial zones.
  • D. Yodo River
    The Yodo River is a major waterway in Japan’s Kansai region that flows through Kyoto and Osaka, historically serving as an important route for transport, trade, and urban development.
  • E. Walkill River
    The Walkill River is a north-flowing river in New Jersey and New York that drains part of the Appalachian Valley before joining the Hudson River.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e73555481909fc972eed3337945 completed March 1, 2026, 1:26 p.m.
NEDg Description generation batch_69a43ef8ac148190a077d00090f5c9f0 completed March 1, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69a43f55507c8190b922f21d2b59e82d completed March 1, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.