Triple

T12685516
Position Surface form Disambiguated ID Type / Status
Subject Hector Barbossa E303055 entity
Predicate sacrificesHimselfFor P18946 FINISHED
Object Carina Smyth E328612 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: Carina Smyth | Statement: [Hector Barbossa, sacrificesHimselfFor, Carina Smyth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carina Smyth
Context triple: [Hector Barbossa, sacrificesHimselfFor, Carina Smyth]
  • A. Carina Smyth chosen
    Carina Smyth is an intelligent and determined astronomer and horologist who becomes a key ally to Jack Sparrow in the film "Pirates of the Caribbean: Dead Men Tell No Tales."
  • B. Carina Driscoll
    Carina Driscoll is an American politician and entrepreneur from Vermont who has been involved in local government and progressive political campaigns.
  • C. Caitlin Caine
    Caitlin Caine is the daughter of American rapper and actress Charly Baltimore.
  • D. Tessa Wheeler
    Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
  • E. Tessa Ross
    Tessa Ross is a prominent British film and television producer known for backing acclaimed, often auteur-driven projects across UK cinema and high-end TV drama.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05474bc8190a42e2a9540055c47 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:21 p.m.