Triple

T18382284
Position Surface form Disambiguated ID Type / Status
Subject Betsy Blair E446482 entity
Predicate notableWork P4 FINISHED
Object Kind Lady 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: Kind Lady | Statement: [Betsy Blair, notableWork, Kind Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kind Lady
Context triple: [Betsy Blair, notableWork, Kind Lady]
  • A. Kind Lady chosen
    Kind Lady is a 1951 American film noir thriller about a wealthy art collector terrorized by criminals posing as guests in her home.
  • B. Lady T
    Lady T is the nickname of Teena Marie, an American singer-songwriter celebrated for her soulful R&B music and powerful vocals.
  • C. Lady
    Lady is a traditional British honorific title used for women of certain ranks within the nobility and aristocracy.
  • D. Lady
    Lady is the refined cocker spaniel protagonist from Disney’s animated film "Lady and the Tramp."
  • E. Lady
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179c931c8190b1c7c8284f42f7b7 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.