Triple

T16331337
Position Surface form Disambiguated ID Type / Status
Subject Crashing Towers E396559 entity
Predicate featuresActor P15562 FINISHED
Object George Anderson E438722 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: George Anderson | Statement: [Crashing Towers, featuresActor, George Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Anderson
Context triple: [Crashing Towers, featuresActor, George Anderson]
  • A. George Anderson chosen
    George Anderson is an actor known for his role in the film "The Secret Code."
  • B. Lloyd Anderson
    Lloyd Anderson was an American outdoor enthusiast and businessman best known as the co-founder of the outdoor retail cooperative Recreational Equipment, Inc. (REI).
  • C. Joseph Anderson
    Joseph Anderson was an early American politician and jurist who served as a U.S. Senator from Tennessee in the late 18th and early 19th centuries.
  • D. George William Anderson
    George William Anderson was a 19th-century British colonial official who served in high-ranking administrative and legal roles in India, including participation in early law reform efforts.
  • E. Kenneth Anderson
    Kenneth Anderson was a British Army general best known for leading Allied ground forces in the North African campaign during World War II, including the early phases of the Tunisian campaign.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d27712081908530bbf0d9d47e1f completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:07 a.m.