Triple

T26988013
Position Surface form Disambiguated ID Type / Status
Subject Carl Grimes E679784 entity
Predicate homeLocation P75 FINISHED
Object King County, Georgia
King County, Georgia is a fictional rural county in the U.S. state of Georgia that serves as the primary setting for much of the early storyline in *The Walking Dead* series.
E1802106 NE FINISHED

How this triple was built (2 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: King County, Georgia | Statement: [Carl Grimes, homeLocation, King County, Georgia]
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: King County, Georgia
Triple: [Carl Grimes, homeLocation, King County, Georgia]
Generated description
King County, Georgia is a fictional rural county in the U.S. state of Georgia that serves as the primary setting for much of the early storyline in *The Walking Dead* series.

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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6215b9bc881909614a84c9f0dc499 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8d65ea48190999e1dc66feddc8b completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15ca6352088190896197841a36baa7 completed May 26, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a15ccdad0d0819093ee0e177574c96d completed May 26, 2026, 4:39 p.m.
Created at: April 27, 2026, 6:50 a.m.