Triple

T35209179
Position Surface form Disambiguated ID Type / Status
Subject Plead the Fifth E1016621 entity
Predicate typicalSetting P1957 FINISHED
Object Watch What Happens Live studio
The Watch What Happens Live studio is the intimate, clubhouse-style television set where Andy Cohen hosts his late-night Bravo talk show with celebrity guests and interactive games.
E2130895 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: Watch What Happens Live studio | Statement: [Plead the Fifth, typicalSetting, Watch What Happens Live studio]
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: Watch What Happens Live studio
Triple: [Plead the Fifth, typicalSetting, Watch What Happens Live studio]
Generated description
The Watch What Happens Live studio is the intimate, clubhouse-style television set where Andy Cohen hosts his late-night Bravo talk show with celebrity guests and interactive games.

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_69f76ddf549c8190869d0af076fd2c28 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78e72245c8190b165965ad6c1a6f3 completed May 3, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380406450481909d89f33c59aa7da1 completed June 21, 2026, 3:32 p.m.
NEDg Description generation batch_6a3804ebed608190995d50cb0cf6243a completed June 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a38059a9cf88190a487032818a0ee14 completed June 21, 2026, 3:39 p.m.
Created at: May 3, 2026, 4:02 p.m.