Triple

T8336826
Position Surface form Disambiguated ID Type / Status
Subject Tom Mankiewicz E195808 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the full given name of Tom Mankiewicz, an American screenwriter, director, and producer known for his work on James Bond and Superman films.
E725394 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 Mankiewicz, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Mankiewicz, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
  • B. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • C. Thomas
    Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
  • D. Thomas
    Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
  • E. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • 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 Mankiewicz, givenName, Thomas]
Generated description
Thomas is the full given name of Tom Mankiewicz, an American screenwriter, director, and producer known for his work on James Bond and Superman films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the full given name of Tom Mankiewicz, an American screenwriter, director, and producer known for his work on James Bond and Superman films.
  • A. 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.
  • B. Thomas
    Thomas is the birth name of American actor and producer Tom Cruise, one of Hollywood’s most famous and highest-grossing movie stars.
  • C. 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."
  • D. Thomas
    Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
  • E. Thomas
    Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94ec40a8819081655fee94614525 completed April 1, 2026, 9:58 p.m.
NEDg Description generation batch_69cdb20eee748190b294a8255123ad60 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb311b194819081193609ec4be41d completed April 2, 2026, 12:06 a.m.
Created at: March 30, 2026, 5:57 p.m.