Triple

T38679481
Position Surface form Disambiguated ID Type / Status
Subject Marc Kudisch E943850 entity
Predicate notableRole P22 FINISHED
Object Trevor Graydon in Thoroughly Modern Millie
Trevor Graydon in Thoroughly Modern Millie is the dashing, businesslike boss and love interest in the musical comedy, known for his comic formality and rapid-fire patter songs.
E2280534 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: Trevor Graydon in Thoroughly Modern Millie | Statement: [Marc Kudisch, notableRole, Trevor Graydon in Thoroughly Modern Millie]
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: Trevor Graydon in Thoroughly Modern Millie
Triple: [Marc Kudisch, notableRole, Trevor Graydon in Thoroughly Modern Millie]
Generated description
Trevor Graydon in Thoroughly Modern Millie is the dashing, businesslike boss and love interest in the musical comedy, known for his comic formality and rapid-fire patter songs.

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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc3d5c708190af605614c7ad3700 completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd753e188190a1278db2d3b7a63f completed June 29, 2026, 5:07 a.m.
NEDg Description generation batch_6a41fe7dea008190bdba31dec4813e69 completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff38219081908809f9918423dd0b completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:33 p.m.