Triple

T9258437
Position Surface form Disambiguated ID Type / Status
Subject Ronny Hallin E222503 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: [Ronny Hallin, notableWork, Angie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angie
Context triple: [Ronny Hallin, 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 a minor character in the dark comedy crime film "Seven Psychopaths," appearing in the story’s ensemble of eccentric and violent figures.
  • D. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0714317481908405f857a4f49e74 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bf225608190ade085302946dd8f completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.