Triple

T22210246
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Lichtenstein E548922 entity
Predicate screenwriterOf P2831 FINISHED
Object Angelica NE NERFINISHED

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: Angelica | Statement: [Mitchell Lichtenstein, screenwriterOf, Angelica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelica
Context triple: [Mitchell Lichtenstein, screenwriterOf, Angelica]
  • A. Angelica
    Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
  • B. Angelica
    "Angelica" is a jazz composition featured on the 1963 collaborative album by Duke Ellington and John Coltrane, showcasing their distinctive blend of lyrical piano and expressive tenor saxophone.
  • C. Angelica chosen
    "Angelica" is a 2015 gothic horror film directed by Mitchell Lichtenstein, adapted from Arthur Phillips' novel about a Victorian woman haunted by disturbing supernatural events after childbirth.
  • D. Angelica
    Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
  • E. Angelica
    Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.