Triple

T15440711
Position Surface form Disambiguated ID Type / Status
Subject Frank Langella E369891 entity
Predicate givenName P17 FINISHED
Object Frank
Frank is the given name of American actor Frank Langella, known for his work in film, television, and theater.
E1158099 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: Frank | Statement: [Frank Langella, givenName, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [Frank Langella, givenName, Frank]
  • A. Frank
    Frank is the given first name of the American contemporary street artist and graphic designer Shepard Fairey, known for his iconic "OBEY" and Barack Obama "Hope" posters.
  • B. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • C. Frank
    Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
  • D. Frank
    Frank is the given name of F. S. Flint, an English poet and critic associated with the early 20th-century Imagist movement.
  • E. Frank
    Frank is the given name of Frank Lampard, the renowned English former professional footballer and manager.
  • 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: Frank
Triple: [Frank Langella, givenName, Frank]
Generated description
Frank is the given name of American actor Frank Langella, known for his work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: Frank is the given name of American actor Frank Langella, known for his work in film, television, and theater.
  • A. Frank
    Frank is the given name of American actor Frank Theodore Levine, known for his roles in films like "The Silence of the Lambs" and the TV series "Monk."
  • B. Frank
    Frank is the given name of American actor Frank Grillo, known for his roles in action and thriller films such as "The Purge" series and "Captain America: The Winter Soldier."
  • C. Frank
    Frank is the given name of Frank Oz, the renowned puppeteer, actor, and director best known for his work with the Muppets and on Star Wars.
  • D. Frank
    Frank is the given name of Frank Loesser, the renowned American songwriter and composer known for works such as the musical "Guys and Dolls."
  • E. Frank
    Frank is the given name of filmmaker Frank Darabont, the acclaimed director and screenwriter known for works such as The Shawshank Redemption and The Green Mile.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a9b9188190a3f5de3ee18c5d3e completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff22e2f298819085c90e28acafef44 completed May 9, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff240af68c8190af88834d97a42afb completed May 9, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:21 a.m.