Triple

T16106175
Position Surface form Disambiguated ID Type / Status
Subject Awkwafina E390743 entity
Predicate alsoKnownAs P39 FINISHED
Object Nora Lum E1200072 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: Nora Lum | Statement: [Awkwafina, alsoKnownAs, Nora Lum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Lum
Context triple: [Awkwafina, alsoKnownAs, Nora Lum]
  • A. Nora Lum chosen
    Nora Lum, known professionally as Awkwafina, is an American actress, comedian, rapper, and writer recognized for her roles in films like "Crazy Rich Asians" and "The Farewell."
  • B. Margaret Deland
    Margaret Deland was an American novelist and short story writer of the late 19th and early 20th centuries, known for her realistic portrayals of domestic life and moral conflict.
  • C. Mabel Lum
    Mabel Lum was the mother of American actress and singer Betty Hutton.
  • D. Alma Ross
    Alma Ross was one of the early wives of famed American jazz and swing musician Louis Prima.
  • E. Dolores Fuller
    Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec7cc0881909685923113eaba25 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5 a.m.