Triple

T10514913
Position Surface form Disambiguated ID Type / Status
Subject The New Tenants E248006 entity
Predicate featureCharacter P23263 FINISHED
Object 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.
E868295 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: [The New Tenants, featureCharacter, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [The New Tenants, featureCharacter, Frank]
  • A. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • 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 Frank Lautenberg, a long-serving United States Senator from New Jersey known for his work on public health and transportation safety.
  • D. Frank
    Frank is the nickname of Frank Sheeran, an American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
  • E. Frank
    Frank is the given name of Frank País, a prominent Cuban revolutionary leader active during the Cuban Revolution.
  • 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: [The New Tenants, featureCharacter, Frank]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: 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.
  • A. 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.
  • B. Frank
    Frank is a central, charismatic yet sinister antagonist in the psychological thriller film "Don't Worry Darling," portrayed by Chris Pine.
  • C. 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."
  • D. Frank
    Frank is a 2014 British-Irish black comedy-drama film directed by Lenny Abrahamson, loosely inspired by the persona of musician and comedian Frank Sidebottom.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cbacb08190a446c864b97823ad completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90df141488190a2674546aa437de8 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:27 p.m.