Triple

T25800762
Position Surface form Disambiguated ID Type / Status
Subject Richard Rankin E649820 entity
Predicate characterPortrayed P1507 FINISHED
Object Roger Wakefield MacKenzie
Roger Wakefield MacKenzie is a key character in the "Outlander" series, a 20th-century historian who becomes deeply entwined with time travel and the Fraser family’s saga.
 E1701011 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: Roger Wakefield MacKenzie | Statement: [Richard Rankin, characterPortrayed, Roger Wakefield MacKenzie]
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: Roger Wakefield MacKenzie
Triple: [Richard Rankin, characterPortrayed, Roger Wakefield MacKenzie]
Generated description
Roger Wakefield MacKenzie is a key character in the "Outlander" series, a 20th-century historian who becomes deeply entwined with time travel and the Fraser family’s saga.

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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5ffcaf4688190a22db6707856528d completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10eca46b608190984357a7ffc2f8e7 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 22, 2026, 6:38 a.m.