Triple

T8361499
Position Surface form Disambiguated ID Type / Status
Subject Bid Time Return E197016 entity
Predicate filmAdaptationStars P5563 FINISHED
Object Christopher Reeve E120714 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: Christopher Reeve | Statement: [Bid Time Return, filmAdaptationStars, Christopher Reeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Reeve
Context triple: [Bid Time Return, filmAdaptationStars, Christopher Reeve]
  • A. Christopher Reeve chosen
    Christopher Reeve was an American actor best known for his iconic portrayal of Superman in the late 1970s and 1980s film series.
  • B. Will Reeve
    Will Reeve is an American television journalist and the son of late actor Christopher Reeve and Dana Reeve.
  • C. Reeve
    Reeve is the given name of Reeve Lindbergh, an American author and the daughter of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
  • D. Reeve
    The Reeve is a shrewd, irritable estate manager and skilled carpenter who appears as one of the pilgrims and storytellers in Geoffrey Chaucer’s The Canterbury Tales.
  • E. Jonathan Irons
    Jonathan Irons is an American man whose wrongful conviction and eventual release from prison drew national attention, in part due to the advocacy and later marriage of WNBA star Maya Moore.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8074e4588190b394d1622adca2cb completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc775a548819090c83d916b352f41 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 6 p.m.