Triple

T6809426
Position Surface form Disambiguated ID Type / Status
Subject Lucy Bronze E156592 entity
Predicate familyName P18 FINISHED
Object Bronze
Bronze is a metal alloy primarily composed of copper and tin, historically significant for tools, weapons, art, and coins since the Bronze Age.
 E619527 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: Bronze | Statement: [Lucy Bronze, familyName, Bronze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bronze
Context triple: [Lucy Bronze, familyName, Bronze]
  • A. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • B. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • C. Brass
    Brass is a coastal local government area and historic town in Bayelsa State, Nigeria, known for its role in the Niger Delta’s oil and gas activities and its traditional trading heritage.
  • D. Stříbro
    Stříbro is a historic town in the western Czech Republic known for its medieval architecture and former silver mining.
  • E. Bronze Boot
    The Bronze Boot is a football (soccer) award typically given to the third-highest goalscorer in a tournament or league, ranking behind the Golden and Silver Boot honors.
  • 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: Bronze
Triple: [Lucy Bronze, familyName, Bronze]
Generated description
Bronze is a metal alloy primarily composed of copper and tin, historically significant for tools, weapons, art, and coins since the Bronze Age.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bronze
Target entity description: Bronze is a metal alloy primarily composed of copper and tin, historically significant for tools, weapons, art, and coins since the Bronze Age.
  • A. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • B. Copper
    Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • C. Brass
    Brass is a coastal local government area and historic town in Bayelsa State, Nigeria, known for its role in the Niger Delta’s oil and gas activities and its traditional trading heritage.
  • D. Stříbro
    Stříbro is a historic town in the western Czech Republic known for its medieval architecture and former silver mining.
  • E. Bronze Boot
    The Bronze Boot is a football (soccer) award typically given to the third-highest goalscorer in a tournament or league, ranking behind the Golden and Silver Boot honors.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa5411c81908d05bef3213b39f1 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b97125c81909f60a898d6bd4ebc completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c355b14819093909be7ee005e31 completed March 28, 2026, 12:09 a.m.
Created at: March 27, 2026, 2:16 p.m.