Triple

T10081165
Position Surface form Disambiguated ID Type / Status
Subject Debralee Scott E213902 entity
Predicate notableWork P4 FINISHED
Object Angie E285720 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: Angie | Statement: [Debralee Scott, notableWork, Angie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angie
Context triple: [Debralee Scott, notableWork, Angie]
  • A. Angie chosen
    "Angie" is a 1973 ballad by The Rolling Stones, renowned for its melancholic melody and emotional lyrics, and considered one of the band's most iconic songs.
  • B. Angela
    "Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
  • C. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • D. Angela
    Angela is a minor character in the dark comedy crime film "Seven Psychopaths," appearing in the story’s ensemble of eccentric and violent figures.
  • E. Angela
    Angela is a recurring character on the animated sitcom "Family Guy," known as Peter Griffin’s tough, no-nonsense supervisor at the Pawtucket Brewery.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b660987c8190a6a29d9e56acbff7 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.