Triple

T9237543
Position Surface form Disambiguated ID Type / Status
Subject Look at Us E221974 entity
Predicate partOf P40 FINISHED
Object Pocket Full of Gold E787120 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: Pocket Full of Gold | Statement: [Look at Us, partOf, Pocket Full of Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pocket Full of Gold
Context triple: [Look at Us, partOf, Pocket Full of Gold]
  • A. Pocket Full of Gold chosen
    Pocket Full of Gold is a 1991 country music album by American singer Vince Gill, noted for its traditional sound and emotionally rich songwriting.
  • B. Silver Chips
    Silver Chips is the student-run newspaper of Montgomery Blair High School, known for its in-depth reporting and coverage of school and community issues.
  • C. Tower of Gold
    Tower of Gold is a historic 13th-century watchtower in Seville, Spain, that once formed part of the city’s defensive walls along the Guadalquivir River.
  • D. Mr. Lucky
    Mr. Lucky is a blues album by John Lee Hooker that features his signature electric blues style and collaborations with several prominent guest musicians.
  • E. Stagecoach Gold
    Stagecoach Gold is a premium bus service brand in the UK offering enhanced comfort, amenities, and service quality compared to standard Stagecoach routes.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bc043ec81909393e8af03ab0117 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:29 p.m.