Triple

T7554410
Position Surface form Disambiguated ID Type / Status
Subject Hook (film) E178622 entity
Predicate starring P1507 FINISHED
Object Caroline Goodall E325779 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: Caroline Goodall | Statement: [Hook (film), starring, Caroline Goodall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Goodall
Context triple: [Hook (film), starring, Caroline Goodall]
  • A. Caroline Goodall chosen
    Caroline Goodall is an English actress known for her roles in major films such as Schindler's List, Hook, and Cliffhanger.
  • B. Caroline Farrell
    Caroline Farrell is the original identity of Echo, the central protagonist in Joss Whedon’s science fiction TV series "Dollhouse."
  • C. Caroline Graham
    Caroline Graham is a British crime novelist best known for creating the Chief Inspector Barnaby books that inspired the television series "Midsomer Murders."
  • D. Caroline Fry
    Caroline Fry was a 19th-century English Christian writer and moralist known for her religious essays and devotional works.
  • E. Caroline Ridington
    Caroline Ridington was the wife of pioneering American film director and early cinema innovator Edwin S. Porter.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86151a5a48190a6a53baa54f19293 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:49 p.m.