Triple

T2576277
Position Surface form Disambiguated ID Type / Status
Subject Michael Mann E57782 entity
Predicate notableWork P4 FINISHED
Object Ali E63925 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: [Michael Mann, notableWork, Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali
Context triple: [Michael Mann, notableWork, Ali]
  • A. Ali chosen
    "Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
  • B. Ali
    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. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • D. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • E. Sam
    Sam is a person whose given name is Sam.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a606e481909bcea46de468bb99 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657413908190a03b9dd8dc40b2e4 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.