Triple

T11731499
Position Surface form Disambiguated ID Type / Status
Subject Thief E278906 entity
Predicate mainCharacter P1183 FINISHED
Object Frank
Frank is the central protagonist of the story "Thief," around whom the narrative’s criminal and dramatic events revolve.
E942151 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: [Thief, mainCharacter, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [Thief, mainCharacter, Frank]
  • A. Frank
    Frank is the given name of the renowned Canadian-American architect Frank Gehry, celebrated for his deconstructivist and sculptural building designs.
  • B. Frank
    Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
  • C. Frank
    Frank is the given name of the American painter, sculptor, and printmaker Frank Stella, a leading figure in minimalism and post-painterly abstraction.
  • D. Frank
    Frank is the husband of the English novelist Mary Shelley, best known as the author of "Frankenstein."
  • E. Frank
    Frank is the given name of American actor and impressionist Frank Gorshin, best known for portraying the Riddler on the 1960s Batman television series.
  • 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: [Thief, mainCharacter, Frank]
Generated description
Frank is the central protagonist of the story "Thief," around whom the narrative’s criminal and dramatic events revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: Frank is the central protagonist of the story "Thief," around whom the narrative’s criminal and dramatic events revolve.
  • A. Frank
    Frank is a central character in the darkly comedic short film "The New Tenants," known for his involvement in the story’s tense, absurd chain of events.
  • B. Frank
    Frank is the nickname of Frank Sheeran, an American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
  • C. Frank
    Frank is a key supporting character in the post-apocalyptic horror film "28 Days Later," known as a protective father trying to keep his daughter safe amid a devastating viral outbreak in London.
  • D. Frank
    Frank is the given name of Frank Abagnale Jr., the infamous former con artist whose life inspired the film "Catch Me If You Can."
  • E. Frank
    Frank is a central, charismatic yet sinister antagonist in the psychological thriller film "Don't Worry Darling," portrayed by Chris Pine.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d94de08190a7184cf26d8cb94e completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef833084988190b5004c93f68dc628 completed April 27, 2026, 3:39 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.