Triple

T34966869
Position Surface form Disambiguated ID Type / Status
Subject Merrily We Live E1008423 entity
Predicate hasCharacter P2308 FINISHED
Object Jerry Kilbourne
Jerry Kilbourne is a central comedic character in the 1938 screwball film "Merrily We Live," known for becoming entangled with an eccentric wealthy family's chaotic household.
E2119888 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: Jerry Kilbourne | Statement: [Merrily We Live, hasCharacter, Jerry Kilbourne]
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: Jerry Kilbourne
Triple: [Merrily We Live, hasCharacter, Jerry Kilbourne]
Generated description
Jerry Kilbourne is a central comedic character in the 1938 screwball film "Merrily We Live," known for becoming entangled with an eccentric wealthy family's chaotic household.

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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7845c719481909a64791bbfa0cbde completed May 3, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b26eb49081908a7610f03ca6b975 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b348c6d88190ad65c70fcb965538 completed June 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a37b41c5968819082c2da527dea016e completed June 21, 2026, 9:51 a.m.
Created at: May 3, 2026, 4 p.m.