Triple

T20063253
Position Surface form Disambiguated ID Type / Status
Subject Daniel Lapaine E499536 entity
Predicate appearedIn P795 FINISHED
Object Catastrophe 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: Catastrophe | Statement: [Daniel Lapaine, appearedIn, Catastrophe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catastrophe
Context triple: [Daniel Lapaine, appearedIn, Catastrophe]
  • A. Catastrophe
    "Catastrophe" is a short play by Samuel Beckett that presents a stark, minimalist meditation on power, control, and human suffering.
  • B. Catastrophe
    Catastrophe is a darkly comedic memoir by Carrie Fisher that blends sharp wit with candid reflections on her personal struggles and Hollywood life.
  • C. the catastrophe
    The catastrophe is the English translation of "Nakba," referring to the mass displacement and dispossession of Palestinians during the 1948 Arab-Israeli war.
  • D. Catastrophe (TV series) chosen
    Catastrophe is a British comedy-drama television series about an Irish woman and an American man whose brief affair leads to an unplanned pregnancy and an unconventional relationship.
  • E. The Catastrophe
    "The Catastrophe" is a political work by Russian revolutionary leader Alexander Kerensky analyzing the collapse of the Russian Provisional Government and the events leading to the Bolshevik takeover in 1917.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66377b6b48190a0a37279f285123e completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.