Triple

T15974961
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Flair E387420 entity
Predicate trainedBy P3665 FINISHED
Object Lodi
Lodi is a professional wrestler best known for his work in World Championship Wrestling (WCW) during the late 1990s, where he was a member of the Flock stable.
E1185649 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: Lodi | Statement: [Charlotte Flair, trainedBy, Lodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodi
Context triple: [Charlotte Flair, trainedBy, Lodi]
  • A. Lodi
    Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
  • B. Lodi
    Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
  • C. Lodi
    Lodi is a historically significant Afghan Pashtun dynasty name most prominently associated with the Lodi rulers of the Delhi Sultanate in northern India.
  • D. Redding
    Redding is a small city located in Ringgold County in the southern part of the U.S. state of Iowa.
  • E. Redding
    Redding is a mid-sized city in Northern California known as a regional hub for outdoor recreation, with access to Shasta Lake, the Sacramento River, and nearby national forests.
  • 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: Lodi
Triple: [Charlotte Flair, trainedBy, Lodi]
Generated description
Lodi is a professional wrestler best known for his work in World Championship Wrestling (WCW) during the late 1990s, where he was a member of the Flock stable.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lodi
Target entity description: Lodi is a professional wrestler best known for his work in World Championship Wrestling (WCW) during the late 1990s, where he was a member of the Flock stable.
  • A. Lodi
    Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
  • B. Lodi
    Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
  • C. Lodi
    Lodi is a historically significant Afghan Pashtun dynasty name most prominently associated with the Lodi rulers of the Delhi Sultanate in northern India.
  • D. Redding
    Redding is a mid-sized city in Northern California known as a regional hub for outdoor recreation, with access to Shasta Lake, the Sacramento River, and nearby national forests.
  • E. Redding
    Redding was the former name of Elizabeth City, a historic riverfront community in northeastern North Carolina.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572c216c81908f2070d2a87609c2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
NEDg Description generation batch_69ffbf50d5fc8190a045846f046e04cf completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfb1ed7c81908771dedce172707a completed May 9, 2026, 11:13 p.m.
Created at: April 10, 2026, 4:54 a.m.