Triple

T4809202
Position Surface form Disambiguated ID Type / Status
Subject Octavia Spencer E107024 entity
Predicate name P16 FINISHED
Object Octavia Spencer E107024 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: Octavia Spencer | Statement: [Octavia Spencer, name, Octavia Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Octavia Spencer
Context triple: [Octavia Spencer, name, Octavia Spencer]
  • A. Octavia Spencer chosen
    Octavia Spencer is an American actress and producer acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Help."
  • B. Viola Davis
    Viola Davis is an acclaimed American actress known for her powerful performances across film, television, and theater, and for breaking barriers as one of the most awarded Black actresses in Hollywood history.
  • C. Gabourey Sidibe
    Gabourey Sidibe is an American actress best known for her acclaimed, Oscar-nominated breakout performance in the film "Precious."
  • D. Angela Bassett
    Angela Bassett is an acclaimed American actress known for her powerful performances in film and television, particularly in biographical and dramatic roles.
  • E. Nicole Beharie
    Nicole Beharie is an American actress known for her powerful performances in film and television, including notable roles in projects like "Shame," "42," and the series "Sleepy Hollow."
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6c70a88190aa287fc78716c225 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.