Triple

T302880
Position Surface form Disambiguated ID Type / Status
Subject Our House Is on Fire E6235 entity
Predicate author P4 FINISHED
Object Malena Ernman E5325 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: Malena Ernman | Statement: [Our House Is on Fire, author, Malena Ernman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malena Ernman
Context triple: [Our House Is on Fire, author, Malena Ernman]
  • A. Malena Ernman chosen
    Malena Ernman is a Swedish opera singer and environmental activist known both for her acclaimed mezzo-soprano career and as the mother of climate activist Greta Thunberg.
  • B. Ingrid Bergman
    Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
  • C. Cecilia Nessen
    Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • D. Anne Baxter
    Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
  • E. Elsa Lanchester
    Elsa Lanchester was a British-born character actress best known for her eccentric and memorable roles in classic Hollywood films, including her iconic turn in "The Bride of Frankenstein."
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0eec708190a0af9b27bf1f016a completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b0732b5c81908f08a37ce720bc04 completed March 1, 2026, 3:20 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.