Triple

T3367055
Position Surface form Disambiguated ID Type / Status
Subject Lucky Daye E70861 entity
Predicate EP P15272 FINISHED
Object Table for Two E352610 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: Table for Two | Statement: [Lucky Daye, EP, Table for Two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Table for Two
Context triple: [Lucky Daye, EP, Table for Two]
  • A. Table for Two chosen
    "Table for Two" is an R&B EP by American singer-songwriter Lucky Daye that features a series of duets exploring themes of love and relationships.
  • B. Date Night
    Date Night is a 2010 American romantic action-comedy film starring Steve Carell and Tina Fey as a married couple whose attempt at a special evening spirals into a chaotic crime-filled adventure.
  • C. Banquet
    "Banquet" is a song from Joni Mitchell's 1972 album *For the Roses*, reflecting her introspective folk-rock style and lyrical social commentary.
  • D. Two on the Aisle
    Two on the Aisle is a 1951 Broadway musical revue featuring songs by Jule Styne and lyrics by Betty Comden and Adolph Green.
  • E. A Wedding
    "A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2890480819082fe2e3c2874cece completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbdebb88190be8458f840e2d84f completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:13 p.m.