Triple

T12349824
Position Surface form Disambiguated ID Type / Status
Subject Pete Moore E294453 entity
Predicate givenName P17 FINISHED
Object Warren
Warren is a masculine given name of English origin, commonly used in the United States and other English-speaking countries.
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: [Pete Moore, givenName, Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren
Context triple: [Pete Moore, givenName, Warren]
  • A. Warren
    Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
  • B. Warren
    Warren "Baby" Dodds was an influential early jazz drummer known for his pioneering work in New Orleans and Chicago jazz.
  • C. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • D. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • E. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • 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: [Pete Moore, givenName, Warren]
Generated description
Warren is a masculine given name of English origin, commonly used in the United States and other English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Warren
Target entity description: Warren is a masculine given name of English origin, commonly used in the United States and other English-speaking countries.
  • A. Warren chosen
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • B. Warren
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • C. Warren
    Warren is the given name of Warren E. Burger, the 15th Chief Justice of the United States Supreme Court.
  • D. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • E. Warren
    Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
  • F. None of above.

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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d13237881908b7c2dca173e20cf completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.