Triple

T22393256
Position Surface form Disambiguated ID Type / Status
Subject Angela E553560 entity
Predicate hasName P744 FINISHED
Object Angela 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: Angela | Statement: [Angela, hasName, Angela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela
Context triple: [Angela, hasName, Angela]
  • A. Angela
    Angela is a character in the British stage play and film "Abigail's Party," known for her polite, somewhat naive demeanor amid the story's tense social dynamics.
  • B. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • C. Angela
    Angela is a feminine given name commonly used in many cultures, often associated with meanings related to "angel" or "messenger."
  • D. Angela
    Angela is the heroine of Matthew Lewis's Gothic melodrama "The Castle Spectre," central to its tale of mystery, romance, and supernatural intrigue.
  • E. Angela
    Angela is a character in John Keats’s narrative poem "The Eve of St. Agnes," serving as an elderly attendant who helps facilitate the lovers’ secret meeting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585ce39c819082b62e7f2e297d9b completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.