Triple

T16252136
Position Surface form Disambiguated ID Type / Status
Subject Doc E394535 entity
Predicate appearsIn P795 FINISHED
Object Sweet Thursday E394540 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: Sweet Thursday | Statement: [Doc, appearsIn, Sweet Thursday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Thursday
Context triple: [Doc, appearsIn, Sweet Thursday]
  • A. Sweet Thursday chosen
    Sweet Thursday is a 1954 novel by John Steinbeck that revisits the characters and setting of Cannery Row in post–World War II Monterey, California.
  • B. Sheer Thursday
    Sheer Thursday is an alternative name for Maundy Thursday, the Christian holy day commemorating the Last Supper of Jesus with his disciples before his crucifixion.
  • C. Sweet Thing
    "Sweet Thing" is a soulful 1975 R&B ballad by Chaka Khan (with Rufus) that became one of her signature hits and a classic of the genre.
  • D. Thursday (song)
    "Thursday" is a song by English singer-songwriter Jess Glynne, known for its introspective lyrics about self-acceptance and vulnerability.
  • E. Perfect Day
    "Perfect Day" is a song by American rock band Collective Soul, known for its melodic alternative rock sound and introspective lyrics.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.