Triple

T8441990
Position Surface form Disambiguated ID Type / Status
Subject Tom Sizemore E199370 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
E738971 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: Thomas | Statement: [Tom Sizemore, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Sizemore, givenName, Thomas]
  • A. Thomas
    Thomas is the middle name of Edward Thomas Wailes, an American diplomat.
  • B. Thomas
    Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
  • C. Thomas
    Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
  • D. Thomas
    Thomas is the given first name of American astronaut Ken Mattingly, known for his role in the Apollo and Space Shuttle programs.
  • E. Thomas
    Thomas is the given name of Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
  • 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: Thomas
Triple: [Tom Sizemore, givenName, Thomas]
Generated description
Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
  • A. Thomas
    Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
  • B. Thomas
    Thomas is the given first name of English actor Tom Hiddleston, known for his role as Loki in the Marvel Cinematic Universe.
  • C. Thomas
    Thomas is the birth name of American actor and producer Tom Cruise, one of Hollywood’s most famous and highest-grossing movie stars.
  • D. Thomas
    Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
  • E. Thomas
    Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc163488190a53d8696fdba94b5 completed April 2, 2026, 11:06 a.m.
NEDg Description generation batch_69ce51efb1e48190abca64f24b03febc completed April 2, 2026, 11:24 a.m.
NED2 Entity disambiguation (via description) batch_69ce525196208190b2d70fd2be293826 completed April 2, 2026, 11:26 a.m.
Created at: March 30, 2026, 6:08 p.m.