Triple

T5635098
Position Surface form Disambiguated ID Type / Status
Subject Another Thin Man E147927 entity
Predicate musicBy P1952 FINISHED
Object Edward Ward E194053 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: Edward Ward | Statement: [Another Thin Man, musicBy, Edward Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Ward
Context triple: [Another Thin Man, musicBy, Edward Ward]
  • A. Edward Ward chosen
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • B. Samuel Ward
    Samuel Ward was a 19th-century American banker and art patron known for commissioning significant works such as Thomas Cole’s "The Voyage of Life" series.
  • C. Philip Hardwick
    Philip Hardwick was a prominent 19th-century English architect known for his influential industrial and railway architecture, including major works in London and Liverpool.
  • D. William Dowdeswell
    William Dowdeswell was an 18th-century British Whig politician who served as Chancellor of the Exchequer and was a leading figure in the Rockingham Whig faction.
  • E. George Winslow
    George Winslow was an American child actor of the 1950s, best remembered for his deadpan delivery and distinctive raspy voice in several popular Hollywood comedies.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a1666d88190af4c1890247f897d completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:41 p.m.