Triple

T20086021
Position Surface form Disambiguated ID Type / Status
Subject La Chambre rouge E496130 entity
Predicate depicts P1581 FINISHED
Object red room — NE NERFINISHED

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: red room | Statement: [La Chambre rouge, depicts, red room]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: red room
Context triple: [La Chambre rouge, depicts, red room]
  • A. Red Room
    The Red Room is a secretive Soviet-era training program and facility in Marvel Comics known for turning young girls into elite assassins like Black Widow and Yelena Belova.
  • B. Red Room chosen
    The Red Room is an elegant, historically significant parlor in the White House used for receptions and small gatherings, distinguished by its red décor and antique furnishings.
  • C. Red Room Blue Room
    "Red Room Blue Room" is a track from Ludwig Göransson's atmospheric and time-bending score for Christopher Nolan's film *Tenet*.
  • D. The Dark Room
    The Dark Room is a British television drama in which actress Holly Aird delivered one of her most recognized performances.
  • E. The Dark Room
    The Dark Room is a psychological horror video game known for its unsettling atmosphere, narrative-driven exploration, and themes of memory and trauma.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ae9ec8190bde2f17452639de8 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 10:58 p.m.