Triple

T22390203
Position Surface form Disambiguated ID Type / Status
Subject Where We Are E553491 entity
Predicate containsTrack P3284 FINISHED
Object Shadows 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: Shadows | Statement: [Where We Are, containsTrack, Shadows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadows
Context triple: [Where We Are, containsTrack, Shadows]
  • A. Shadows
    Shadows is a groundbreaking 1959 American independent drama film by John Cassavetes, celebrated for its improvisational style and candid exploration of race and relationships in New York City.
  • B. Shadows
    "Shadows" is a novel by Zimbabwean writer Chenjerai Hove that poignantly explores the human cost of political and social upheaval in post-independence Zimbabwe.
  • C. Shadows chosen
    "Shadows" is a song featured on the album "Take Another Picture" by the American rock band Quarterflash.
  • D. Shadows
    "Shadows" is a song by Carole Bayer Sager from her self-titled 1977 pop album, showcasing her introspective songwriting and melodic style.
  • E. Shadows
    "Shadows" is a television series created by Tom Forman, best known as a work that showcases his style in suspenseful, character-driven storytelling.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15859853c8190b849cb34a94106da completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.