Triple

T11898243
Position Surface form Disambiguated ID Type / Status
Subject Harry's House E283087 entity
Predicate hasPart P35 FINISHED
Object Daylight E798245 NE FINISHED

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: Daylight | Statement: [Harry's House, hasPart, Daylight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daylight
Context triple: [Harry's House, hasPart, Daylight]
  • A. Daylight
    Daylight is a 1996 disaster thriller film starring Sylvester Stallone, centered on a group of survivors trapped in a collapsed tunnel beneath the Hudson River.
  • B. Daylight chosen
    "Daylight" is a song titled to evoke themes of light, hope, or emotional clarity, commonly used in pop and rock music.
  • C. Daylight
    Daylight was a famous streamlined passenger train of the Southern Pacific Railroad, celebrated for its bright orange livery and scenic daytime runs along the California coast.
  • D. Daylight Again
    Daylight Again is a 1982 studio album by Crosby, Stills & Nash that marked a commercial resurgence for the band with polished production and radio-friendly hits.
  • E. Day and Night
    "Day and Night" is a famous woodcut print by M. C. Escher that depicts two interlocking flocks of birds emerging from a tessellated landscape, exploring symmetry, transformation, and the contrast between light and dark.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418205b788190a4b1b81d89cf7fff completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.