Triple

T11716278
Position Surface form Disambiguated ID Type / Status
Subject The Mummy: Tomb of the Dragon Emperor E278505 entity
Predicate starredActor P5563 FINISHED
Object Maria Bello E403767 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: Maria Bello | Statement: [The Mummy: Tomb of the Dragon Emperor, starredActor, Maria Bello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Bello
Context triple: [The Mummy: Tomb of the Dragon Emperor, starredActor, Maria Bello]
  • A. Maria Bello chosen
    Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
  • B. Samantha Morton
    Samantha Morton is an acclaimed English actress and director known for her intense, emotionally rich performances in independent films and major productions alike.
  • C. Melissa Hudson
    Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
  • D. Ramona Sarsgaard
    Ramona Sarsgaard is the daughter of American actor Peter Sarsgaard and actress Maggie Gyllenhaal.
  • E. Alice Patten
    Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c10d988190842acd824135cf15 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f739c2081909e8923290c139c6f completed May 1, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:40 p.m.