Triple

T17964890
Position Surface form Disambiguated ID Type / Status
Subject Tessa Ross E449176 entity
Predicate notableWork P4 FINISHED
Object 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: Room | Statement: [Tessa Ross, notableWork, Room]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Room
Context triple: [Tessa Ross, notableWork, Room]
  • A. Room
    "Room" is a notable work by Danny Cohen, likely recognized as a significant contribution within his creative or professional field.
  • B. Room chosen
    Room is a 2015 drama film, directed by Lenny Abrahamson and acclaimed for its intense, intimate portrayal of a mother and son held in captivity and their struggle to adjust to the outside world.
  • C. Room
    "Room" is a solo studio album by American actress and singer Katey Sagal, showcasing her blend of rock, country, and blues influences.
  • D. Rooms
    Rooms is a section of Gertrude Stein’s experimental modernist work "Tender Buttons," characterized by its fragmented, poetic prose exploring everyday domestic spaces.
  • E. Chambre
    Chambre is the French abbreviation for the Belgian Chamber of Representatives, the lower house of the Federal Parliament of Belgium.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b136e4088190ac97fd92dc84a4b9 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.