Triple

T11020452
Position Surface form Disambiguated ID Type / Status
Subject Princess Ahmanet E260472 entity
Predicate enemy P4567 FINISHED
Object Nick Morton E902016 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: Nick Morton | Statement: [Princess Ahmanet, enemy, Nick Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Morton
Context triple: [Princess Ahmanet, enemy, Nick Morton]
  • A. Nick Morton chosen
    Nick Morton is the adventurous U.S. Army sergeant and treasure hunter who becomes entangled with an ancient evil in the 2017 film "The Mummy."
  • B. Daryl Sattler
    Daryl Sattler is an American professional soccer goalkeeper best known for his standout performances in the North American Soccer League, particularly with the San Antonio Scorpions.
  • C. Carl Mitchell
    Carl Mitchell, better known by his stage name Twista, is a Chicago rapper renowned for his rapid-fire delivery and contributions to hip-hop.
  • D. Michael Dorsey
    Michael Dorsey is the struggling, perfectionist New York actor who disguises himself as a woman to land a soap-opera role in the 1982 film "Tootsie."
  • E. Craig Morton
    Craig Morton is a former American football quarterback best known for leading both the Dallas Cowboys and Denver Broncos to Super Bowl appearances in the 1970s.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c828b7848190be34a6ba1550d3f1 completed April 18, 2026, 6:06 p.m.
Created at: April 8, 2026, 9:25 p.m.