Triple

T14624009
Position Surface form Disambiguated ID Type / Status
Subject I Hope You're Happy E343297 entity
Predicate notableSingle P3283 FINISHED
Object Daylight (Blue October song) 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 (Blue October song) | Statement: [I Hope You're Happy, notableSingle, Daylight (Blue October song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daylight (Blue October song)
Context triple: [I Hope You're Happy, notableSingle, Daylight (Blue October song)]
  • 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. Clear Light of Day
    Clear Light of Day is a reflective novel by Indian author Anita Desai that explores memory, family tensions, and the passage of time in post-partition Delhi.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cd890c8190902c9b526babe6d3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.