Triple

T6214020
Position Surface form Disambiguated ID Type / Status
Subject Victor Garber E138939 entity
Predicate characterPortrayed P1507 FINISHED
Object Thomas Andrews E314294 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: Thomas Andrews | Statement: [Victor Garber, characterPortrayed, Thomas Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Andrews
Context triple: [Victor Garber, characterPortrayed, Thomas Andrews]
  • A. Thomas Andrews chosen
    Thomas Andrews was a British shipbuilder and naval architect best known as the chief designer of the RMS Titanic, who perished during its sinking in 1912.
  • B. John Ballantyne
    John Ballantyne is the amnesiac patient and central male protagonist in Alfred Hitchcock’s 1945 psychological thriller "Spellbound."
  • C. George Cowan
    George Cowan was an American physical chemist and philanthropist best known for his work on the Manhattan Project and for founding the interdisciplinary research center, the Santa Fe Institute.
  • D. Walter Watt
    Walter Watt is an American local government official serving as the mayor of Muskegon Heights, Michigan.
  • E. James Dewar
    James Dewar was a Scottish chemist and physicist best known for inventing the vacuum flask and pioneering research in low-temperature physics and liquefied gases.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.