Triple

T18722057
Position Surface form Disambiguated ID Type / Status
Subject Light Depth E457799 entity
Predicate title P38 FINISHED
Object Light Depth 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: Light Depth | Statement: [Light Depth, title, Light Depth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Light Depth
Context triple: [Light Depth, title, Light Depth]
  • A. Light Depth chosen
    "Light Depth" is an abstract, color-saturated painting by American artist Sam Gilliam, exemplifying his innovative approach to color field painting and spatial experimentation.
  • B. Light
    "Light" is an emotional closing number from the rock musical *Next to Normal* that reflects themes of hope and resilience amid mental illness and family struggle.
  • C. Light
    "Light" is a novel by Swedish author Torgny Lindgren, known for its lyrical prose and exploration of human existence and morality in a stark rural setting.
  • D. Light
    "Light" is a critically acclaimed science fiction novel by M. John Harrison that intertwines space opera, quantum physics, and psychological exploration across multiple timelines.
  • E. Light
    Light was a litigant in the U.S. Supreme Court case Light v. United States, which addressed federal authority over public lands and grazing rights.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abadca08190ab1e699b7dcc0c4d completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.