Triple

T9610247
Position Surface form Disambiguated ID Type / Status
Subject Luttrell, Tennessee E232078 entity
Predicate previousName P65 FINISHED
Object Cedar Ford
Cedar Ford is the former name of the unincorporated community now known as Luttrell in Union County, Tennessee.
E810105 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: Cedar Ford | Statement: [Luttrell, Tennessee, previousName, Cedar Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Ford
Context triple: [Luttrell, Tennessee, previousName, Cedar Ford]
  • A. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • B. Cedarville
    Cedarville is a small unincorporated community located in the U.S. state of Missouri.
  • C. Boyne City
    Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
  • D. Belvidere
    Belvidere is a small industrial city in northern Illinois known historically for its automotive manufacturing and location along the Kishwaukee River.
  • E. Brimley
    Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
  • 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: Cedar Ford
Triple: [Luttrell, Tennessee, previousName, Cedar Ford]
Generated description
Cedar Ford is the former name of the unincorporated community now known as Luttrell in Union County, Tennessee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cedar Ford
Target entity description: Cedar Ford is the former name of the unincorporated community now known as Luttrell in Union County, Tennessee.
  • A. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • B. Cedarville
    Cedarville is a small unincorporated community located in the U.S. state of Missouri.
  • C. Boyne City
    Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
  • D. Belvidere
    Belvidere is a small industrial city in northern Illinois known historically for its automotive manufacturing and location along the Kishwaukee River.
  • E. Brimley
    Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a5df01081909f20c4a722cef83d completed April 4, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69d17adb55648190b01060ade60b0fde completed April 4, 2026, 8:55 p.m.
Created at: March 30, 2026, 8:08 p.m.