Triple

T15368596
Position Surface form Disambiguated ID Type / Status
Subject Eric Banadinović E367482 entity
Predicate notableWork P4 FINISHED
Object Hanna
"Hanna" is a 2011 action thriller film starring Eric Bana about a teenage girl trained as an assassin who embarks on a dangerous mission across Europe.
 E249924 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: Hanna | Statement: [Eric Banadinović, notableWork, Hanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanna
Context triple: [Eric Banadinović, notableWork, Hanna]
  • A. Hanna
    Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
  • B. Hanna
    "Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
  • C. Hanna
    Hanna is the petitioner in the U.S. Supreme Court case Hanna v. Plumer, which addressed the application of federal procedural rules in diversity jurisdiction cases.
  • D. Till
    Till is a character in Anzia Yezierska’s novel "Sapphira and the Slave Girl," contributing to the book’s exploration of race, power, and personal freedom in antebellum America.
  • E. Jejuri
    Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
  • 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: Hanna
Triple: [Eric Banadinović, notableWork, Hanna]
Generated description
"Hanna" is a 2011 action thriller film starring Eric Bana about a teenage girl trained as an assassin who embarks on a dangerous mission across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanna
Target entity description: "Hanna" is a 2011 action thriller film starring Eric Bana about a teenage girl trained as an assassin who embarks on a dangerous mission across Europe.
  • A. Hanna
    Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
  • B. Hanna chosen
    "Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
  • C. Hanna
    Hanna is the petitioner in the U.S. Supreme Court case Hanna v. Plumer, which addressed the application of federal procedural rules in diversity jurisdiction cases.
  • D. Till
    Till is a character in Anzia Yezierska’s novel "Sapphira and the Slave Girl," contributing to the book’s exploration of race, power, and personal freedom in antebellum America.
  • E. Jejuri
    Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
  • F. None of above.

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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0cb1b9188190b0eb99661d26206f completed May 9, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_69ff0d3182f08190abd463d921e1830e completed May 9, 2026, 10:32 a.m.
Created at: April 10, 2026, 3:18 a.m.