Triple

T1197654
Position Surface form Disambiguated ID Type / Status
Subject 84th Academy Awards E25704 entity
Predicate mostAwardsFilm P8121 FINISHED
Object Hugo
Hugo is a 2011 fantasy adventure drama film directed by Martin Scorsese, celebrated for its innovative 3D visuals and homage to early cinema pioneer Georges Méliès.
E37442 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: Hugo | Statement: [84th Academy Awards, mostAwardsFilm, Hugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo
Context triple: [84th Academy Awards, mostAwardsFilm, Hugo]
  • A. Hugo
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • B. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • C. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • D. Mill
    Mill is a village in the Dutch province of North Brabant, known for its historical sites and rural character.
  • E. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • 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: Hugo
Triple: [84th Academy Awards, mostAwardsFilm, Hugo]
Generated description
Hugo is a 2011 fantasy adventure drama film directed by Martin Scorsese, celebrated for its innovative 3D visuals and homage to early cinema pioneer Georges Méliès.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hugo
Target entity description: Hugo is a 2011 fantasy adventure drama film directed by Martin Scorsese, celebrated for its innovative 3D visuals and homage to early cinema pioneer Georges Méliès.
  • A. Hugo chosen
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • B. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • C. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • D. Mill
    Mill is a village in the Dutch province of North Brabant, known for its historical sites and rural character.
  • E. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9a305c819091513394f1b67784 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7658cae8819081da26480926ff83 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac770141a88190b71552d46fb4d2ad completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac777a7768819098b9d4dd771a6750 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.