Triple

T20421192
Position Surface form Disambiguated ID Type / Status
Subject Oberhauser E500852 entity
Predicate hasNotableBearer P458 FINISHED
Object Klaus Oberhauser
Klaus Oberhauser is a fictional character in the James Bond franchise, notably reimagined as the true identity of the villain Ernst Stavro Blofeld in the 2015 film "Spectre."
E2028645 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: Klaus Oberhauser | Statement: [Oberhauser, hasNotableBearer, Klaus Oberhauser]
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: Klaus Oberhauser
Triple: [Oberhauser, hasNotableBearer, Klaus Oberhauser]
Generated description
Klaus Oberhauser is a fictional character in the James Bond franchise, notably reimagined as the true identity of the villain Ernst Stavro Blofeld in the 2015 film "Spectre."

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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba479008190bf6d31ee79f3a401 completed April 20, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34c650930081909de4b6ccdd43fbc3 completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c71d75b48190b3b47facc35ad833 completed June 19, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_6a34c7807d208190b7a50f84aa2b3058 completed June 19, 2026, 4:37 a.m.
Created at: April 16, 2026, 11:30 a.m.