Triple

T35705837
Position Surface form Disambiguated ID Type / Status
Subject Milo Rambaldi E1031714 entity
Predicate associatedWith P37 FINISHED
Object The Mueller Device
The Mueller Device is a mysterious, ancient, and apocalyptic machine central to the mythology of the TV series "Alias," created by the fictional prophet-inventor Milo Rambaldi.
E2151437 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: The Mueller Device | Statement: [Milo Rambaldi, associatedWith, The Mueller Device]
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: The Mueller Device
Triple: [Milo Rambaldi, associatedWith, The Mueller Device]
Generated description
The Mueller Device is a mysterious, ancient, and apocalyptic machine central to the mythology of the TV series "Alias," created by the fictional prophet-inventor Milo Rambaldi.

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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0c9e8ec8190a6b9372a54563dd4 completed May 3, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729c21908190ae5baf815c523aeb completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a3873b54e98819081d03d29202e0cce completed June 21, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a387471166481908564c7a5aa5fc646 completed June 21, 2026, 11:32 p.m.
Created at: May 3, 2026, 4:05 p.m.