Triple

T16284258
Position Surface form Disambiguated ID Type / Status
Subject Lashana Lynch E395347 entity
Predicate characterPortrayed P1507 FINISHED
Object Nomi E387480 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: Nomi | Statement: [Lashana Lynch, characterPortrayed, Nomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nomi
Context triple: [Lashana Lynch, characterPortrayed, Nomi]
  • A. Nomi chosen
    Nomi is the new 00-agent who succeeds James Bond in the 2021 James Bond film "No Time to Die."
  • B. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • C. Namin
    Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
  • D. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • E. Nomi Sunrider
    Nomi Sunrider is a prominent Jedi Knight from the Star Wars Expanded Universe, known for her powerful connection to the Force and key role in the events of the Old Republic era.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.