Triple

T9400322
Position Surface form Disambiguated ID Type / Status
Subject Sal Mineo E226449 entity
Predicate portrayed P1668 FINISHED
Object Angelo in Who Killed Teddy Bear E34007 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: Angelo in Who Killed Teddy Bear | Statement: [Sal Mineo, portrayed, Angelo in Who Killed Teddy Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelo in Who Killed Teddy Bear
Context triple: [Sal Mineo, portrayed, Angelo in Who Killed Teddy Bear]
  • A. Angelo chosen
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • B. Peppard
    Peppard is a surname most notably associated with American actor George Peppard, known for roles in film and television such as "Breakfast at Tiffany's" and "The A-Team."
  • C. Ángel
    Ángel is a given name of Spanish origin commonly used for males and derived from the word for “angel.”
  • D. Nicholas Angel
    Nicholas Angel is the hyper-competent, by-the-book London police officer who becomes the central protagonist of the action-comedy film "Hot Fuzz."
  • E. Boo Hoo the Bear
    Boo Hoo the Bear is the costumed mascot representing Queen's University at Kingston, symbolizing school spirit and supporting the university’s athletic teams and events.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012753088190bc73b7c577109e76 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.