Triple

T29491872
Position Surface form Disambiguated ID Type / Status
Subject Dragon Age: Inquisition E748101 entity
Predicate hasAdvisor P25349 FINISHED
Object Cullen Rutherford
Cullen Rutherford is a former Templar officer who serves as the Inquisition's military commander and strategic advisor in the video game Dragon Age: Inquisition.
E1870809 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: Cullen Rutherford | Statement: [Dragon Age: Inquisition, hasAdvisor, Cullen Rutherford]
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: Cullen Rutherford
Triple: [Dragon Age: Inquisition, hasAdvisor, Cullen Rutherford]
Generated description
Cullen Rutherford is a former Templar officer who serves as the Inquisition's military commander and strategic advisor in the video game Dragon Age: Inquisition.

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_69f0bd448c6881908aa6b475cefd5ddc completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c0b47188190b65788708bde20d1 completed May 2, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c1704988190bb4da0a43466e28b completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a261053b87881909e66525205c2de35 completed June 8, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a26140caa84819098a28ce1ff918e72 completed June 8, 2026, 12:59 a.m.
Created at: April 28, 2026, 4:15 p.m.