Triple

T914303
Position Surface form Disambiguated ID Type / Status
Subject Earl Warren E19733 entity
Predicate familyName P18 FINISHED
Object Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
 E110885 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: Warren | Statement: [Earl Warren, familyName, Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warren
Context triple: [Earl Warren, familyName, Warren]
  • A. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • B. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • C. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • D. Davis
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • E. Davis
    Davis is a small Northern California city known for hosting the University of California, Davis and for its strong emphasis on education, agriculture, and bicycle-friendly urban planning.
  • 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: Warren
Triple: [Earl Warren, familyName, Warren]
Generated description
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warren
Target entity description: Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • A. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • B. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • C. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • D. Davis
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • E. Davis
    Davis is a small Northern California city known for hosting the University of California, Davis and for its strong emphasis on education, agriculture, and bicycle-friendly urban planning.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d6781081908a59c0263515bbc8 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a834246eec8190977b2d3747fa1e9d completed March 4, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69a834a0e6748190aa1c488a46f35df2 completed March 4, 2026, 1:33 p.m.
Created at: March 1, 2026, 7:39 p.m.