Triple

T23231249
Position Surface form Disambiguated ID Type / Status
Subject Pan (1995 film) E581159 entity
Predicate title P38 FINISHED
Object Pan
Pan is a 1995 film adaptation of Knut Hamsun’s novel, focusing on a soldier’s obsessive and ultimately destructive love affair set against the backdrop of the Norwegian wilderness.
E1576632 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: Pan | Statement: [Pan (1995 film), title, Pan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pan
Context triple: [Pan (1995 film), title, Pan]
  • A. Pan
    Pan is a genus of great apes that includes chimpanzees and bonobos, our closest living evolutionary relatives.
  • B. Pan
    Pan is a 1894 novel by Norwegian author Knut Hamsun, known for its lyrical portrayal of nature and its psychologically intense depiction of love and jealousy.
  • C. Pan
    Pan is a former member of the American rock band Black Veil Brides, known for their theatrical style and blend of glam metal and post-hardcore.
  • D. Pan
    Pan is a 2015 fantasy adventure film that serves as an origin story for J.M. Barrie’s Peter Pan, reimagining how the boy who wouldn’t grow up first came to Neverland.
  • E. Pan
    Pan is a small inner moon of Saturn that orbits within the planet’s A ring and gravitationally sculpts the Encke Gap in the ring system.
  • 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: Pan
Triple: [Pan (1995 film), title, Pan]
Generated description
Pan is a 1995 film adaptation of Knut Hamsun’s novel, focusing on a soldier’s obsessive and ultimately destructive love affair set against the backdrop of the Norwegian wilderness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pan
Target entity description: Pan is a 1995 film adaptation of Knut Hamsun’s novel, focusing on a soldier’s obsessive and ultimately destructive love affair set against the backdrop of the Norwegian wilderness.
  • A. Pan
    Pan is a 1894 novel by Norwegian author Knut Hamsun, known for its lyrical portrayal of nature and its psychologically intense depiction of love and jealousy.
  • B. Pan
    Pan is a 2015 fantasy adventure film that serves as an origin story for J.M. Barrie’s Peter Pan, reimagining how the boy who wouldn’t grow up first came to Neverland.
  • C. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • D. Pan
    Pan is a genus of great apes that includes chimpanzees and bonobos, our closest living evolutionary relatives.
  • E. Pan
    Pan is a former member of the American rock band Black Veil Brides, known for their theatrical style and blend of glam metal and post-hardcore.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f19231ef908190a791b4967916a66f completed April 29, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f577f5c8190a8c8bdf9bd5305f5 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4008c4a881908ad49e733b549036 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40c6562481908689eca2a4997115 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:09 p.m.