Triple

T4107097
Position Surface form Disambiguated ID Type / Status
Subject Lower Keys E88479 entity
Predicate hasPart P35 FINISHED
Object No Name Key E381696 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: No Name Key | Statement: [Lower Keys, hasPart, No Name Key]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Name Key
Context triple: [Lower Keys, hasPart, No Name Key]
  • A. No Name Key chosen
    No Name Key is a small, sparsely developed island in the lower Florida Keys known for its quiet residential character and once-notable population of endangered Key deer.
  • B. No Name
    No Name is a Canadian discount private-label grocery brand known for its plain yellow packaging and low-priced everyday products.
  • C. Noname
    Noname is an American rapper, poet, and record producer from Chicago known for her introspective lyrics, jazz-influenced sound, and critically acclaimed projects like "Telefone" and "Room 25."
  • D. In Name Only
    In Name Only is a 1939 romantic drama film starring Cary Grant and Carole Lombard, adapted from a novel and known for its blend of melodrama and emotional complexity.
  • E. Nobody
    Nobody is a 2021 action thriller film starring Bob Odenkirk as an underestimated suburban father whose violent past resurfaces, written by Derek Kolstad.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019c7a3c8190a503ce80e87dc3b3 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8240248190afd026a450958d4c completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.