Triple

T5897528
Position Surface form Disambiguated ID Type / Status
Subject Kate Capshaw E131135 entity
Predicate name P16 FINISHED
Object Kate Capshaw E131135 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: Kate Capshaw | Statement: [Kate Capshaw, name, Kate Capshaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Capshaw
Context triple: [Kate Capshaw, name, Kate Capshaw]
  • A. Kate Capshaw chosen
    Kate Capshaw is an American actress best known for her role in "Indiana Jones and the Temple of Doom" and for her long-standing marriage to director Steven Spielberg.
  • B. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • C. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • D. Sheila Garrett
    Sheila Garrett was the wife of British actor Henry Wilcoxon, known for her long marriage to the prominent film and television performer.
  • E. Lynn Collins
    Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f65c1c819084cb90662af6e114 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b159cb908190b78b78d1e854212b completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.