Triple

T8319947
Position Surface form Disambiguated ID Type / Status
Subject John Alcott E194803 entity
Predicate workedOn P3 FINISHED
Object Lolita E725849 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: Lolita | Statement: [John Alcott, workedOn, Lolita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolita
Context triple: [John Alcott, workedOn, Lolita]
  • A. Lolita
    Lolita is the controversial young heroine of Vladimir Nabokov’s novel, whose relationship with the older Humbert Humbert explores themes of obsession, manipulation, and moral ambiguity.
  • B. Lolita chosen
    Lolita is a 1962 film adaptation of Vladimir Nabokov’s controversial novel, directed by Stanley Kubrick and noted for its provocative exploration of obsession and taboo desire.
  • C. Moi... Lolita
    "Moi... Lolita" is a 2000 French pop song that launched singer Alizée to fame with its catchy melody and provocative, Lolita-themed lyrics.
  • D. Bienvenidos al Lolita
    Bienvenidos al Lolita is a Spanish television drama series created by Álex Pina that centers on the lives and struggles of the staff and performers of a cabaret club.
  • E. Lolita (1997 film)
    Lolita (1997 film) is a 1997 drama directed by Adrian Lyne, adapting Vladimir Nabokov’s controversial novel about a middle-aged professor’s obsessive and illicit relationship with a young girl.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f6686a0819094abc2bfd2e500a5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6fee5dc8190b2de22d210884e51 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:55 p.m.