Triple

T7547272
Position Surface form Disambiguated ID Type / Status
Subject Marylebone Road E178437 entity
Predicate hosts P186 FINISHED
Object Madame Tussauds London E62226 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: Madame Tussauds London | Statement: [Marylebone Road, hosts, Madame Tussauds London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madame Tussauds London
Context triple: [Marylebone Road, hosts, Madame Tussauds London]
  • A. Madame Tussauds London chosen
    Madame Tussauds London is the original and flagship wax museum of the global Madame Tussauds brand, renowned for its lifelike celebrity and historical figure wax sculptures.
  • B. Madame Tussauds
    Madame Tussauds is a world-famous chain of wax museums known for its lifelike sculptures of celebrities, historical figures, and cultural icons.
  • C. Madame Tussauds Amsterdam
    Madame Tussauds Amsterdam is a popular wax museum in central Amsterdam featuring lifelike figures of celebrities, historical figures, and cultural icons.
  • D. Madame Tussauds Sydney
    Madame Tussauds Sydney is a popular wax museum featuring lifelike figures of celebrities, historical icons, and cultural personalities.
  • E. The London Dungeon
    The London Dungeon is a popular London tourist attraction that uses live actors, special effects, and themed sets to recreate gruesome and macabre events from the city’s history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.