Triple

T37266216
Position Surface form Disambiguated ID Type / Status
Subject The Flintstones in Viva Rock Vegas E924390 entity
Predicate setting P1957 FINISHED
Object Rock Vegas
Rock Vegas is the prehistoric, stone-age parody of Las Vegas featured as the main casino-filled city in the film "The Flintstones in Viva Rock Vegas."
E2220290 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: Rock Vegas | Statement: [The Flintstones in Viva Rock Vegas, setting, Rock Vegas]
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: Rock Vegas
Triple: [The Flintstones in Viva Rock Vegas, setting, Rock Vegas]
Generated description
Rock Vegas is the prehistoric, stone-age parody of Las Vegas featured as the main casino-filled city in the film "The Flintstones in Viva Rock Vegas."

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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5a9d467c8190878134b9987933e3 completed May 6, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513175a4819085bc3f0a2590b3a4 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051cb77588190bb567262099da867 completed June 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a4052a4a25881909cf695660c11d30a completed June 27, 2026, 10:45 p.m.
Created at: May 3, 2026, 4:15 p.m.