Triple

T4347214
Position Surface form Disambiguated ID Type / Status
Subject No Name on the Bullet (1959 film) E97933 entity
Predicate starring P1507 FINISHED
Object Charles Watts
Charles Watts was an American character actor known for his supporting roles in mid-20th-century film and television.
 E432479 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: Charles Watts | Statement: [No Name on the Bullet (1959 film), starring, Charles Watts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charles Watts
Context triple: [No Name on the Bullet (1959 film), starring, Charles Watts]
  • A. David Parfitt
    David Parfitt is a British film producer best known for his Academy Award-winning work on acclaimed dramas such as "Shakespeare in Love."
  • B. Neil Aspinall
    Neil Aspinall was a close associate and longtime road manager of the Beatles who later became the chief executive of their company, Apple Corps.
  • C. Ian Reed
    Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
  • D. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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: Charles Watts
Triple: [No Name on the Bullet (1959 film), starring, Charles Watts]
Generated description
Charles Watts was an American character actor known for his supporting roles in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charles Watts
Target entity description: Charles Watts was an American character actor known for his supporting roles in mid-20th-century film and television.
  • A. David Parfitt
    David Parfitt is a British film producer best known for his Academy Award-winning work on acclaimed dramas such as "Shakespeare in Love."
  • B. Neil Aspinall
    Neil Aspinall was a close associate and longtime road manager of the Beatles who later became the chief executive of their company, Apple Corps.
  • C. Ian Reed
    Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
  • D. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518d6728819084a2f40ae0bd3ac8 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba958b88190b1b4efe4274cd060 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc1eedc08190b50b72b59cf1dcf0 completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5dcbf4d5081908d24bce8e2769124 completed March 14, 2026, 10:10 p.m.
Created at: March 12, 2026, 11:15 p.m.