Triple

T22433366
Position Surface form Disambiguated ID Type / Status
Subject What Will People Say E554551 entity
Predicate castMember P1668 FINISHED
Object Maria Mozhdah NE NERFINISHED

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 Mozhdah | Statement: [What Will People Say, castMember, Maria Mozhdah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Mozhdah
Context triple: [What Will People Say, castMember, Maria Mozhdah]
  • A. Maria Mozhdah chosen
    Maria Mozhdah is a Norwegian-Pakistani actress best known for her breakout role in the critically acclaimed drama film "What Will People Say."
  • B. Marian Zazeela
    Marian Zazeela is an American visual artist, designer, and musician best known for her pioneering light installations and long-term collaboration with minimalist composer La Monte Young.
  • C. Sayyida Shirin
    Sayyida Shirin was a prominent Buyid-era noblewoman and political figure who wielded significant influence in northern Iran around the turn of the 11th century.
  • D. Bilquis Edhi
    Bilquis Edhi was a renowned Pakistani humanitarian and philanthropist who co-led the Edhi Foundation, focusing especially on the care of abandoned children and vulnerable women.
  • E. Mariye
    Mariye is a perceptive and enigmatic young girl who plays a central, symbolic role in Haruki Murakami’s novel "Killing Commendatore."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adce9688190992ad0ca15883931 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.