Triple

T12598596
Position Surface form Disambiguated ID Type / Status
Subject Angelina E300797 entity
Predicate hasVariant P455 FINISHED
Object Angelica E752522 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: Angelica | Statement: [Angelina, hasVariant, Angelica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelica
Context triple: [Angelina, hasVariant, Angelica]
  • A. Angelica chosen
    Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
  • B. 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.
  • C. Angelica
    Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
  • D. Angelica archangelica
    Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
  • E. Angelica Rush
    Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d096d08190afa1f685bad68d35 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec75fc08190aa13cbb0161eb35c completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:09 p.m.