Triple

T15329517
Position Surface form Disambiguated ID Type / Status
Subject Allie E366495 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ali E126738 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 | Statement: [Allie, hasVariantSpelling, Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali
Context triple: [Allie, hasVariantSpelling, Ali]
  • A. Ali
    "Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
  • B. Ali chosen
    Ali is a common Arabic male given name meaning "exalted" or "noble," widely used across the Muslim world and historically associated with prominent religious and political figures.
  • C. Ali
    Ali is a hip-hop artist known for contributing a featured verse to Nelly’s hit single “Air Force Ones.”
  • D. Ali
    Ali is a heroic slave and central figure in the ballet "Le Corsaire," known for his virtuosic and demanding male variations.
  • E. Ali
    Ali is the central protagonist of Rainer Werner Fassbinder’s 1974 film "Ali: Fear Eats the Soul," a Moroccan immigrant whose relationship with an older German woman exposes themes of racism, loneliness, and social alienation.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.