Triple

T13472876
Position Surface form Disambiguated ID Type / Status
Subject Adeel Akhtar E318172 entity
Predicate nominatedForWork P6104 FINISHED
Object Ali & Ava E1042594 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: Ali & Ava | Statement: [Adeel Akhtar, nominatedForWork, Ali & Ava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali & Ava
Context triple: [Adeel Akhtar, nominatedForWork, Ali & Ava]
  • A. Ali & Ava chosen
    Ali & Ava is a British romantic drama film that follows the tender, quietly transformative relationship between two lonely people from different backgrounds in contemporary Bradford.
  • B. Ben Aan
    Ben Aan is a popular, relatively small hill in the Trossachs region of Scotland, known for its steep but short ascent and panoramic views over Loch Katrine and Loch Achray.
  • C. Ava in Nashville
    Ava in Nashville is a character portrayed by Rachel Bilson on the television drama series "Nashville."
  • D. Amal
    Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
  • E. Little Persia
    Little Persia is a nickname for Tehrangeles, the Los Angeles neighborhood known for its large Iranian diaspora and concentration of Persian businesses and culture.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547f6b1c8190965b239da0b47e93 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.