Triple

T13777037
Position Surface form Disambiguated ID Type / Status
Subject Marsha Ambrosius E331034 entity
Predicate associatedAct P37 FINISHED
Object Natalie Stewart E1080796 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: Natalie Stewart | Statement: [Marsha Ambrosius, associatedAct, Natalie Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Stewart
Context triple: [Marsha Ambrosius, associatedAct, Natalie Stewart]
  • A. Natalie Stewart chosen
    Natalie Stewart is a British singer, songwriter, and poet best known as one half of the R&B/neo-soul duo Floetry.
  • B. Natalie Brown
    Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
  • C. Natalie Holt
    Natalie Holt is a British composer and violinist known for her acclaimed scores for television and film, including major franchises in the Star Wars and Marvel universes.
  • D. Natalie Lawson
    Natalie Lawson is a fictional character portrayed by Canadian actress Torri Higginson, best known from her work in television drama.
  • E. Natalie Evans
    Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 10:10 p.m.