Triple

T2861198
Position Surface form Disambiguated ID Type / Status
Subject Albert Brooks E63323 entity
Predicate wrote P2831 FINISHED
Object Mother E305553 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: Mother | Statement: [Albert Brooks, wrote, Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother
Context triple: [Albert Brooks, wrote, Mother]
  • A. Mother
    "Mother" is a 1906 socialist realist novel by Russian writer Maksim Gorky that portrays a working-class woman's political awakening during the revolutionary ferment in pre-revolutionary Russia.
  • B. Mother
    Mother is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles.
  • C. Mother chosen
    Mother is a 1996 American comedy film written, directed by, and starring Albert Brooks, in which he plays a writer who moves back in with his eccentric mother to work through their complicated relationship.
  • D. Mutter
    Mutter is the window manager and Wayland compositor used by the GNOME desktop environment to handle graphical display and window management.
  • E. Mama
    "Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8df8288190816767169ea7cbf9 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0314baa408190b1b398dcfaa29c53 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.