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.