Triple

T6579288
Position Surface form Disambiguated ID Type / Status
Subject The Street Where I Live E157249 entity
Predicate subject P450 FINISHED
Object Gigi E489172 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: Gigi | Statement: [The Street Where I Live, subject, Gigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gigi
Context triple: [The Street Where I Live, subject, Gigi]
  • A. Gigi
    Gigi is a 1958 American musical romantic comedy film, directed by Vincente Minnelli, that won multiple Academy Awards and is celebrated for its lavish production and memorable score.
  • B. Gigi
    Gigi was the affectionate nickname of Gianna Bryant, the late daughter of NBA legend Kobe Bryant who was known for her own promising basketball talent.
  • C. Gigi chosen
    Gigi is a resident of the Convent, a communal living space central to Toni Morrison’s novel "Paradise."
  • D. Annette
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • E. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56fe8f08190ad30773f29b207c5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.