Triple

T33251997
Position Surface form Disambiguated ID Type / Status
Subject Richard L. Bare E851272 entity
Predicate directed P7373 FINISHED
Object So You Want to Be on the Radio
"So You Want to Be on the Radio" is a mid-20th-century American short comedy film from the popular "So You Want to..." series, satirically exploring the world of radio broadcasting.
 E2043622 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: So You Want to Be on the Radio | Statement: [Richard L. Bare, directed, So You Want to Be on the Radio]
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: So You Want to Be on the Radio
Triple: [Richard L. Bare, directed, So You Want to Be on the Radio]
Generated description
"So You Want to Be on the Radio" is a mid-20th-century American short comedy film from the popular "So You Want to..." series, satirically exploring the world of radio broadcasting.

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_69f34963135c819084e7f1d483421f00 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6db2b1be88190bef6c2ca36eae580 completed May 3, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3539121f208190952b0790b6e47606 completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a3539d6f5448190aee35547822a99ff completed June 19, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a353abc2f7c8190bb5843c25bb84256 completed June 19, 2026, 12:49 p.m.
Created at: May 1, 2026, 1:31 a.m.