Triple

T18821999
Position Surface form Disambiguated ID Type / Status
Subject Shang-Chi and the Legend of the Ten Rings (2021) film score E460283 entity
Predicate notableTrack P8087 FINISHED
Object The Light and the Dark NE NERFINISHED

How this triple was built (3 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: The Light and the Dark | Statement: [Shang-Chi and the Legend of the Ten Rings (2021) film score, notableTrack, The Light and the Dark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Light and the Dark
Context triple: [Shang-Chi and the Legend of the Ten Rings (2021) film score, notableTrack, The Light and the Dark]
  • A. Darkness and the Light
    Darkness and the Light is a philosophical science fiction novel by Olaf Stapledon that contrasts two possible futures for humanity shaped by differing social and moral choices.
  • B. Light and Darkness
    "Light and Darkness" is an unfinished psychological novel by Japanese author Natsume Sōseki that explores marital conflict, social ambition, and inner turmoil in early 20th-century Japan.
  • C. Light in Darkness
    Light in Darkness is the English motto of the University of Liberia, expressing its mission to provide enlightenment and knowledge amid challenging circumstances.
  • D. Shadows and Light
    "Shadows and Light" is a 1980 live album and concert film by Canadian singer-songwriter Joni Mitchell, capturing jazz-infused performances with an all-star band.
  • E. A Light in the Dark
    "A Light in the Dark" is a song performed by musician Dan Goodman, likely featuring reflective lyrics and melodic instrumentation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Light and the Dark
Target entity description: "The Light and the Dark" is a dramatic orchestral track from the film score of Marvel's "Shang-Chi and the Legend of the Ten Rings," highlighting the movie’s central emotional and thematic conflict.
  • A. Darkness and the Light
    Darkness and the Light is a philosophical science fiction novel by Olaf Stapledon that contrasts two possible futures for humanity shaped by differing social and moral choices.
  • B. Light and Darkness
    "Light and Darkness" is an unfinished psychological novel by Japanese author Natsume Sōseki that explores marital conflict, social ambition, and inner turmoil in early 20th-century Japan.
  • C. Light in Darkness
    Light in Darkness is the English motto of the University of Liberia, expressing its mission to provide enlightenment and knowledge amid challenging circumstances.
  • D. Shadows and Light
    "Shadows and Light" is a 1980 live album and concert film by Canadian singer-songwriter Joni Mitchell, capturing jazz-infused performances with an all-star band.
  • E. A Light in the Dark
    "A Light in the Dark" is a song performed by musician Dan Goodman, likely featuring reflective lyrics and melodic instrumentation.
  • F. None of above. chosen

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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6ba90988190a93e1c2fa23b3d1d completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.