Triple

T18855003
Position Surface form Disambiguated ID Type / Status
Subject The Gypsy Morph E461147 entity
Predicate mainCharacter P1183 FINISHED
Object Angel Perez 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: Angel Perez | Statement: [The Gypsy Morph, mainCharacter, Angel Perez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Perez
Context triple: [The Gypsy Morph, mainCharacter, Angel Perez]
  • A. Angel Perez chosen
    Angel Perez is a central protagonist in Terry Brooks' post-apocalyptic fantasy novel "Armageddon's Children," known for her role as a Knight of the Word battling demonic forces.
  • B. Angel Cruz
    Angel Cruz is a central character in Stephen Adly Guirgis’s play "Jesus Hopped the 'A' Train," a young inmate grappling with guilt, faith, and moral responsibility while awaiting trial on Rikers Island.
  • C. Angel Lopez
    Angel Lopez is a music producer known for his work on the project "Hands On."
  • D. Angel Lopez
    Angel Lopez is a music composer known for his work on the song "Every Hour."
  • E. Alex Montoya
    Alex Montoya was a Spanish actor known for his supporting roles in mid-20th-century cinema, including appearances in international productions.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05c16e88190a08b6a8b94e1c9f9 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.