Triple

T34642588

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cleaver Greene	`E889600`	entity
Predicate	USAdaptationCounterpart	`P170200`	FINISHED
Object	Keegan Deane Keegan Deane is the brash, self-destructive criminal defense attorney protagonist of the U.S. television series "Rake," adapted from the Australian original character Cleaver Greene.	`E2106118`	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: Keegan Deane | Statement: [Cleaver Greene, USAdaptationCounterpart, Keegan Deane]

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: Keegan Deane
Triple: [Cleaver Greene, USAdaptationCounterpart, Keegan Deane]

Generated description

Keegan Deane is the brash, self-destructive criminal defense attorney protagonist of the U.S. television series "Rake," adapted from the Australian original character Cleaver Greene.

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

Target predicate: USAdaptationCounterpart
Context triple: [Cleaver Greene, USAdaptationCounterpart, Keegan Deane]

A. adaptationCounterpart chosen
Indicates that one work serves as an adaptation of another, representing a counterpart version derived from or based on the original.
B. USProvides
Indicates that the United States supplies, furnishes, or makes available something (such as aid, resources, services, or support) to another entity.
C. adaptationCountry
Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
D. AmericanPosition
Indicates that an entity holds a position, role, or office specifically within the United States context (e.g., in American institutions, organizations, or governance).
E. U.S.component
Indicates that something is a constituent part, subdivision, or member unit within the United States.
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_69f349d724848190b63ad3407e0006d9`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f72292f4388190a72cd79d37a244e7`	completed	May 3, 2026, 10:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3748f1f54081908777c48bff90dbe9`	completed	June 21, 2026, 2:14 a.m.
NEDg	Description generation	`batch_6a374a087e94819085641e6c5dc797e4`	completed	June 21, 2026, 2:18 a.m.
NED2	Entity disambiguation (via description)	`batch_6a374ad276b88190a57d90339a2e319e`	completed	June 21, 2026, 2:22 a.m.
PD	Predicate disambiguation	`batch_69f72157af108190880317a62e634bb0`	completed	May 3, 2026, 10:20 a.m.

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