Triple

T36417290

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cabot Cove Sheriff’s Department	`E897045`	entity
Predicate	notableSheriff	`P22466`	FINISHED
Object	Amos Tupper Amos Tupper is a fictional small-town sheriff from the television series "Murder, She Wrote," known for working closely with mystery writer and amateur sleuth Jessica Fletcher in Cabot Cove.	`E2184098`	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: Amos Tupper | Statement: [Cabot Cove Sheriff’s Department, notableSheriff, Amos Tupper]

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: Amos Tupper
Triple: [Cabot Cove Sheriff’s Department, notableSheriff, Amos Tupper]

Generated description

Amos Tupper is a fictional small-town sheriff from the television series "Murder, She Wrote," known for working closely with mystery writer and amateur sleuth Jessica Fletcher in Cabot Cove.

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

Target predicate: notableSheriff
Context triple: [Cabot Cove Sheriff’s Department, notableSheriff, Amos Tupper]

A. hasCountySheriff chosen
Indicates that a jurisdiction or area is served or overseen by a specific county sheriff.
B. notableArrestee
Indicates that the subject is a person who was arrested in a way considered notable or significant, typically in connection with the object (such as an event, case, or authority).
C. notableProsecutor
Indicates that the person served as a prosecutor in a way that is widely recognized as significant or noteworthy.
D. notableOfficer
Indicates that an entity has served as a significant or distinguished officer of another entity, such as an organization, institution, or group.
E. notableInvestigator
Indicates that one entity is a distinguished or prominently recognized investigator or researcher associated with another entity.
F. None of above.

Provenance (6 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_69f76e54ce408190849acc3f7758937c`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39c40a39388190a32abdd4bdbeaecd`	completed	June 22, 2026, 11:23 p.m.
NEDg	Description generation	`batch_6a39c678b4b88190b0b868ed36464004`	completed	June 22, 2026, 11:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39c81758b48190870d473549b02784`	completed	June 22, 2026, 11:41 p.m.
PD	Predicate disambiguation	`batch_6a037a0a54cc8190868c1bfa1590d1a6`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:10 p.m.