Triple

T16708643
Position Surface form Disambiguated ID Type / Status
Subject She’s a Lady E406039 entity
Predicate performedBy P1363 FINISHED
Object Tom Jones E127801 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: Tom Jones | Statement: [She’s a Lady, performedBy, Tom Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Jones
Context triple: [She’s a Lady, performedBy, Tom Jones]
  • A. Tom Jones
    Tom Jones is a 1963 British comedy-adventure film, based on Henry Fielding’s novel, that became a critical and commercial success and won the Academy Award for Best Picture.
  • B. Tom Jones chosen
    Tom Jones is a Welsh singer renowned for his powerful voice and hit songs like "It's Not Unusual," who became an international star from the 1960s onward.
  • C. Tom Jones
    Tom Jones is the charismatic, high-spirited protagonist of Henry Fielding’s classic 18th-century comic novel, known for his romantic escapades and moral growth.
  • D. Jack Jones
    Jack Jones is an American traditional pop and jazz singer known for his smooth baritone voice and classic interpretations of standards.
  • E. Jack Jones
    Jack Jones was a prominent British trade union leader and influential figure in the labor movement during the mid-20th century.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38650c3808190a561f22b169dc3ae completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.