Triple

T31197906
Position Surface form Disambiguated ID Type / Status
Subject Rhode Island Is Famous for You E795374 entity
Predicate partOf P40 FINISHED
Object Inside U.S.A.
Inside U.S.A. is a 1948 Broadway musical revue with sketches by Moss Hart and songs by Howard Dietz and Arthur Schwartz that satirically explores American life and culture.
 E1951482 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: Inside U.S.A. | Statement: [Rhode Island Is Famous for You, partOf, Inside U.S.A.]
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: Inside U.S.A.
Triple: [Rhode Island Is Famous for You, partOf, Inside U.S.A.]
Generated description
Inside U.S.A. is a 1948 Broadway musical revue with sketches by Moss Hart and songs by Howard Dietz and Arthur Schwartz that satirically explores American life and culture.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69bbff58c8190b2537c1e5049af5e completed May 3, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29591c91e4819087aa0ff63400e937 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a295d2ada288190aaf4ba844b770666 completed June 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a295e13ebbc8190bba5d5efe052b6ea completed June 10, 2026, 12:52 p.m.
Created at: April 29, 2026, 9:09 p.m.