Triple

T16366134
Position Surface form Disambiguated ID Type / Status
Subject Tales E397440 entity
Predicate hasPart P35 FINISHED
Object “Tales” E240687 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: “Tales” | Statement: [Tales, hasPart, “Tales”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Tales”
Context triple: [Tales, hasPart, “Tales”]
  • A. Tales
    Tales is a jazz fusion album by renowned bassist Marcus Miller that showcases his virtuosic playing, sophisticated compositions, and blend of funk, jazz, and contemporary grooves.
  • B. Tales chosen
    Tales is a collection of short stories by Amiri Baraka that reflects his politically charged, experimental, and African American–centered literary style.
  • C. Tales of Wonder
    Tales of Wonder is a late-18th-century collection of Gothic and supernatural ballads compiled by English novelist and dramatist Matthew Gregory Lewis.
  • D. Stories That Touch
    Stories That Touch is a critically acclaimed 2015 studio album by Nigerian rapper Falz that blends witty storytelling with Afro-hip-hop and contemporary Nigerian sounds.
  • E. Catching Tales
    Catching Tales is a jazz-pop studio album by British singer-songwriter and pianist Jamie Cullum, showcasing his blend of jazz standards, pop influences, and original compositions.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3c915c81909e1757fc31921876 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc0b3d4819089e6fba536ec8a11 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.