Triple

T1679188
Position Surface form Disambiguated ID Type / Status
Subject The Prince and the Showgirl E36299 entity
Predicate starring P1507 FINISHED
Object Richard Wattis
Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
E213947 NE FINISHED

How this triple was built (4 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: Richard Wattis | Statement: [The Prince and the Showgirl, starring, Richard Wattis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Wattis
Context triple: [The Prince and the Showgirl, starring, Richard Wattis]
  • A. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • B. John Watts
    John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
  • C. William Rimmer
    William Rimmer was a 19th-century British-born American artist, sculptor, and influential art teacher known for his anatomically precise and imaginative figure studies.
  • D. Richard Pearson
    Richard Pearson was a British naval officer best known for commanding HMS Serapis in its famous 1779 engagement against John Paul Jones during the Battle of Flamborough Head.
  • E. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Richard Wattis
Triple: [The Prince and the Showgirl, starring, Richard Wattis]
Generated description
Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Wattis
Target entity description: Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
  • A. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • B. John Watts
    John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
  • C. David Ewart
    David Ewart was a prominent early 20th-century Canadian architect best known for designing major federal buildings in Ottawa, including landmark public institutions.
  • D. William Rimmer
    William Rimmer was a 19th-century British-born American artist, sculptor, and influential art teacher known for his anatomically precise and imaginative figure studies.
  • E. Richard Pearson
    Richard Pearson was a British naval officer best known for commanding HMS Serapis in its famous 1779 engagement against John Paul Jones during the Battle of Flamborough Head.
  • F. None of above. chosen

Provenance (5 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6260afb881909a50e80c8211fa08 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac637748190b67ddd9eedc3698d completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb503ec88190b8d0cb17bbb8f520 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adef13e030819086e9e8862198d859 completed March 8, 2026, 9:50 p.m.
Created at: March 4, 2026, 7:29 p.m.