Triple

T22319640
Position Surface form Disambiguated ID Type / Status
Subject Henry Ossawa Tanner E551748 entity
Predicate familyName P18 FINISHED
Object Tanner NE NERFINISHED

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: Tanner | Statement: [Henry Ossawa Tanner, familyName, Tanner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanner
Context triple: [Henry Ossawa Tanner, familyName, Tanner]
  • A. Tanner chosen
    Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
  • B. Tanner
    Tanner is a character appearing in the science fiction action film "Judgment Day," associated with its futuristic, apocalyptic storyline.
  • C. Tanner
    Tanner is a central protagonist in the 2012 action war film "Red Dawn," depicted as one of the young fighters resisting a foreign invasion of the United States.
  • D. Tanner Buchanan
    Tanner Buchanan is an American actor best known for his roles in the series "Cobra Kai" and various film and television projects.
  • E. Tanner Sack
    Tanner Sack is a Remade dock worker in China Miéville’s novel "The Scar," known for his transformation into an amphibious being and his central role in the journey to the floating pirate city of Armada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.