Triple

T3287064
Position Surface form Disambiguated ID Type / Status
Subject Charly Baltimore E69007 entity
Predicate alsoKnownAs P39 FINISHED
Object Samantha Caine E100089 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: Samantha Caine | Statement: [Charly Baltimore, alsoKnownAs, Samantha Caine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samantha Caine
Context triple: [Charly Baltimore, alsoKnownAs, Samantha Caine]
  • A. Samantha Caine chosen
    Samantha Caine is the amnesiac suburban schoolteacher who gradually uncovers her past as a lethal government assassin in the action thriller "The Long Kiss Goodnight."
  • B. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • C. Natasha Caine
    Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
  • D. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • E. Lindsay Reade
    Lindsay Reade is a British music industry figure and writer best known for her close involvement with Factory Records and her marriage to its co-founder Tony Wilson.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324fec6d88190a8ecb6f9a3429b2e completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:10 p.m.