Triple

T34426312
Position Surface form Disambiguated ID Type / Status
Subject Paul Raymond E883680 entity
Predicate openedVenue P156907 FINISHED
Object Raymond Revuebar in Soho
Raymond Revuebar in Soho was a famous London strip and cabaret club that became a landmark of the city’s postwar adult entertainment scene.
 E2094749 NE FINISHED

How this triple was built (3 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: Raymond Revuebar in Soho | Statement: [Paul Raymond, openedVenue, Raymond Revuebar in Soho]
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: Raymond Revuebar in Soho
Triple: [Paul Raymond, openedVenue, Raymond Revuebar in Soho]
Generated description
Raymond Revuebar in Soho was a famous London strip and cabaret club that became a landmark of the city’s postwar adult entertainment scene.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: openedVenue
Context triple: [Paul Raymond, openedVenue, Raymond Revuebar in Soho]
  • A. openedAsVenue chosen
    Indicates that an entity began operating or was first established as a venue for events or public use.
  • B. homeVenueOpened
    Indicates that a venue has officially begun operating as the designated home location for a particular team or organization.
  • C. mainVenueOpened
    Indicates that the primary venue associated with an event or organization has begun operations or officially opened.
  • D. venueOpenedForEvent
    Indicates that a venue was opened or made available specifically for hosting a particular event.
  • E. openedStore
    Indicates that an entity has started operating a new store or retail location.
  • F. None of above.

Provenance (6 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_69f349c3dd2c819092cc9e64809f4a42 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370ddc10e88190b6d5e7eb6fb52f01 completed June 20, 2026, 10:02 p.m.
NEDg Description generation batch_6a370f7561048190a9789a707d241fa1 completed June 20, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_6a370fd563e4819098a0cc75d251435b completed June 20, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: May 1, 2026, 2 a.m.