Triple

T6527271
Position Surface form Disambiguated ID Type / Status
Subject Lena Dunham E151336 entity
Predicate writerOf P2831 FINISHED
Object Tiny Furniture E458046 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: Tiny Furniture | Statement: [Lena Dunham, writerOf, Tiny Furniture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiny Furniture
Context triple: [Lena Dunham, writerOf, Tiny Furniture]
  • A. Tiny Furniture chosen
    Tiny Furniture is a 2010 indie comedy-drama film written, directed by, and starring Lena Dunham, which explores post-college aimlessness and family dynamics in New York City.
  • B. Third Small Bench
    Third Small Bench is a division of Japan’s Supreme Court that handles certain categories of appeals and legal cases.
  • C. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • D. Tiny
    Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
  • E. Tabouret Berger
    Tabouret Berger is a minimalist wooden stool designed by French modernist architect and designer Charlotte Perriand, known for its simple, functional form and use of natural materials.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eece13088190a49a72d5a784f6f8 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:45 p.m.