Triple

T13549447
Position Surface form Disambiguated ID Type / Status
Subject Gerard Lee E323602 entity
Predicate notableWork P4 FINISHED
Object Sweetie E322759 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: Sweetie | Statement: [Gerard Lee, notableWork, Sweetie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweetie
Context triple: [Gerard Lee, notableWork, Sweetie]
  • A. Sweetie chosen
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • B. Sweetheart
    Sweetheart is a track from the 2006 album "Life in 1472" by Jermaine Dupri.
  • C. Sweetheart
    "Sweetheart" is a song featured on the album "#1's."
  • D. Sweetheart
    Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
  • E. Sweet One
    "Sweet One" is a smooth, mid-tempo Afrobeats track by Nigerian artist Wizkid from his acclaimed album *Made in Lagos*.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.