Triple

T7900176
Position Surface form Disambiguated ID Type / Status
Subject Office at Night E183429 entity
Predicate title P38 FINISHED
Object Office at Night E183429 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: Office at Night | Statement: [Office at Night, title, Office at Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office at Night
Context triple: [Office at Night, title, Office at Night]
  • A. Office at Night chosen
    Office at Night is a 1940 oil painting by American realist artist Edward Hopper that depicts a tense, introspective scene between an office worker and his secretary in a sparsely lit urban interior.
  • B. Midnight Office
    Midnight Office is a Christian liturgical service of nighttime prayer, traditionally observed around midnight as part of the daily cycle of worship.
  • C. Night Shift
    Night Shift is a 1982 comedy film directed by Ron Howard that helped establish Michael Keaton as a major comedic actor.
  • D. Night Shift
    "Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
  • E. Night Shift
    "Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3dc2208190a6fea93b60b8daca completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.