Triple

T551049
Position Surface form Disambiguated ID Type / Status
Subject Zathura: A Space Adventure E11839 entity
Predicate mainCharacter P1183 FINISHED
Object Danny
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
 E75485 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: Danny | Statement: [Zathura: A Space Adventure, mainCharacter, Danny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danny
Context triple: [Zathura: A Space Adventure, mainCharacter, Danny]
  • A. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • C. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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: Danny
Triple: [Zathura: A Space Adventure, mainCharacter, Danny]
Generated description
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danny
Target entity description: Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • A. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • C. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a523853a648190bdf48e8148fa642b completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a5240e2fa8819099d13bf88b1eeddc completed March 2, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5246681e081909d4991614a5ff6d7 completed March 2, 2026, 5:47 a.m.
Created at: March 1, 2026, 7:32 p.m.