Triple

T14540809
Position Surface form Disambiguated ID Type / Status
Subject Dreamland E341162 entity
Predicate hasPart P35 FINISHED
Object Tangerine E341158 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: Tangerine | Statement: [Dreamland, hasPart, Tangerine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangerine
Context triple: [Dreamland, hasPart, Tangerine]
  • A. Tangerine
    Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
  • B. Tangerine
    "Tangerine" is a funk-infused hip hop track by Big Boi featuring T.I., known for its playful, club-ready sound and appearance on Big Boi’s debut solo album.
  • C. Tangerine
    "Tangerine" is an episode of the American sitcom "The King of Queens," known for its comedic take on everyday married life in Queens, New York.
  • D. Tangerine chosen
    "Tangerine" is a song by the English indie rock band Glass Animals, known for its dreamy production and introspective lyrics.
  • E. Paradise Road
    Paradise Road is a 1997 war drama film about women prisoners of war in World War II, known for its ensemble cast and portrayal of resilience under Japanese captivity.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab414dc8190a233185068cfb8ff completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.