Triple

T19731996
Position Surface form Disambiguated ID Type / Status
Subject Laura Mackenzie Phillips E473876 entity
Predicate notableWork P4 FINISHED
Object High on Arrival 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: High on Arrival | Statement: [Laura Mackenzie Phillips, notableWork, High on Arrival]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High on Arrival
Context triple: [Laura Mackenzie Phillips, notableWork, High on Arrival]
  • A. High on Arrival chosen
    High on Arrival is the memoir by actress and singer Mackenzie Phillips, in which she recounts her experiences with addiction, fame, and family trauma.
  • B. The Arrivals
    The Arrivals are a Chicago-based punk rock band known for their melodic, working-class anthems and strong presence in the underground punk scene.
  • C. Alive on Arrival
    "Alive on Arrival" is a song by the punk rock band Death Certificate.
  • D. The Day He Arrives
    The Day He Arrives is a 2011 black-and-white South Korean art-house drama film written and directed by Hong Sang-soo, known for its minimalist style, recursive narrative, and exploration of chance encounters and repetition.
  • E. When on High
    "When on High" is the traditional English rendering of the opening words and common title of the ancient Babylonian creation epic Enuma Elish.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fd18148190a6e85b2be0069dde completed April 20, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:47 p.m.