Triple

T21775902
Position Surface form Disambiguated ID Type / Status
Subject Dr. Justin Donnelly E537574 entity
Predicate appearsIn P795 FINISHED
Object All Around the Town 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: All Around the Town | Statement: [Dr. Justin Donnelly, appearsIn, All Around the Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Around the Town
Context triple: [Dr. Justin Donnelly, appearsIn, All Around the Town]
  • A. All Around the Town chosen
    All Around the Town is a psychological suspense novel by Mary Higgins Clark that follows a young woman accused of murdering her professor while grappling with traumatic memories and multiple personalities.
  • B. Town to Town
    "Town to Town" is a 1981 contemporary Christian and progressive rock album by virtuoso guitarist and singer-songwriter Phil Keaggy.
  • C. All Over the Town
    All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
  • D. All Over Town
    All Over Town is a stage play by American playwright Murray Schisgal, known for its comedic exploration of relationships and urban life.
  • E. Streets of Your Town
    "Streets of Your Town" is a melodic indie pop song by Australian band The Go-Betweens, known for its bright, jangly sound contrasted with darker lyrical themes.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.