Triple

T34660620

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hazzard County, Georgia	`E890095`	entity
Predicate	hasFictionalJudge	`P200347`	FINISHED
Object	Judge Lester Judge Lester is a fictional county judge from the television series "The Dukes of Hazzard," presiding over legal matters in the rural setting of Hazzard County, Georgia.	`E2107022`	NE FINISHED

How this triple was built (3 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: Judge Lester | Statement: [Hazzard County, Georgia, hasFictionalJudge, Judge Lester]

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: Judge Lester
Triple: [Hazzard County, Georgia, hasFictionalJudge, Judge Lester]

Generated description

Judge Lester is a fictional county judge from the television series "The Dukes of Hazzard," presiding over legal matters in the rural setting of Hazzard County, Georgia.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasFictionalJudge
Context triple: [Hazzard County, Georgia, hasFictionalJudge, Judge Lester]

A. hasFictionalSpeaker
Indicates that a work, text, or expression is presented as being spoken by an invented or non-real speaker rather than an actual person.
B. hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
C. hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
D. isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
E. hasFictionalProperty
Indicates that an entity possesses a property, attribute, or characteristic that exists only in a fictional or imaginary context.
F. None of above. chosen

Provenance (7 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_69f349d906bc8190b2efd9eff237d94b`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69ff84202eb081908ae21a54a4414d68`	completed	May 9, 2026, 6:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3749002278819092de3654d39c20cc`	completed	June 21, 2026, 2:14 a.m.
NEDg	Description generation	`batch_6a3749d08ff48190b252be336b564065`	completed	June 21, 2026, 2:17 a.m.
NED2	Entity disambiguation (via description)	`batch_6a374dbedf148190bc1b24d470fd2224`	completed	June 21, 2026, 2:34 a.m.
PD	Predicate disambiguation	`batch_69ff833065e4819098579129d4ee17d3`	completed	May 9, 2026, 6:55 p.m.
PDg	Predicate description generation	`batch_69ff841f2f2081908d72d4f878c538a0`	completed	May 9, 2026, 6:59 p.m.

Created at: May 1, 2026, 2:04 a.m.