Triple

T15737818
Position Surface form Disambiguated ID Type / Status
Subject Dilys Award E381519 entity
Predicate notableWinner P2766 FINISHED
Object Laura Lippman E728277 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: Laura Lippman | Statement: [Dilys Award, notableWinner, Laura Lippman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Lippman
Context triple: [Dilys Award, notableWinner, Laura Lippman]
  • A. Laura Lippman chosen
    Laura Lippman is an American author best known for her award-winning crime and mystery novels, particularly the Tess Monaghan series set in Baltimore.
  • B. Lisa Gardner
    Lisa Gardner is an American author best known for her bestselling crime and psychological thriller novels, including the Detective D.D. Warren and FBI Profiler series.
  • C. Amy Lippman
    Amy Lippman is an American television writer and producer best known for co-creating the teen drama series "Party of Five" and its spin-off "Time of Your Life."
  • D. Mary Higgins Clark
    Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
  • E. Chris Bohjalian
    Chris Bohjalian is an American novelist known for his bestselling psychological and literary thrillers, several of which have been adapted for film and television.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8769aaac8190b41141eaa5ac6944 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.