Triple

T27938338
Position Surface form Disambiguated ID Type / Status
Subject Taboo E700671 entity
Predicate mainCharacter P1183 FINISHED
Object James Keziah Delaney
James Keziah Delaney is the dark, enigmatic adventurer and businessman at the center of the British television series "Taboo," known for his mysterious past, ruthless cunning, and quest for vengeance in early 19th-century London.
E1796780 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: James Keziah Delaney | Statement: [Taboo, mainCharacter, James Keziah Delaney]
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: James Keziah Delaney
Triple: [Taboo, mainCharacter, James Keziah Delaney]
Generated description
James Keziah Delaney is the dark, enigmatic adventurer and businessman at the center of the British television series "Taboo," known for his mysterious past, ruthless cunning, and quest for vengeance in early 19th-century London.

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_69ef6a5028108190a14696d9821dde49 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63aa191908190ad9ae841275eaca3 completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13115e6824819092ad4350dda5b18f completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a131204bd18819095bb9ad4af5945bf completed May 24, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1313b4fa4c81909b37b7a51f926f45 completed May 24, 2026, 3:05 p.m.
Created at: April 27, 2026, 7:15 p.m.