Triple

T2644448
Position Surface form Disambiguated ID Type / Status
Subject Frankenweenie (2012 film) E62950 entity
Predicate setIn P1393 FINISHED
Object New Holland
New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
 E285263 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: New Holland | Statement: [Frankenweenie (2012 film), setIn, New Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New Holland
Context triple: [Frankenweenie (2012 film), setIn, New Holland]
  • A. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • B. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • C. DG AGRI
    DG AGRI is the European Commission department responsible for EU policy on agriculture and rural development, including the Common Agricultural Policy.
  • D. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • E. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • 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: New Holland
Triple: [Frankenweenie (2012 film), setIn, New Holland]
Generated description
New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: New Holland
Target entity description: New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • A. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • B. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • C. DG AGRI
    DG AGRI is the European Commission department responsible for EU policy on agriculture and rural development, including the Common Agricultural Policy.
  • D. Deering
    Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
  • E. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd90046dc81908bab3440733f1e98 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c2bde8819085fbe1e5221be88d completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af992fafc88190a95b09b7aebeb5a9 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af9983ff8881909273212c6fc6a218 completed March 10, 2026, 4:09 a.m.
Created at: March 6, 2026, 9:53 p.m.