Triple

T20820701
Position Surface form Disambiguated ID Type / Status
Subject Marvel One-Shot: Item 47 E512564 entity
Predicate title P38 FINISHED
Object Item 47
Item 47 is a Marvel One-Shot short film set in the Marvel Cinematic Universe that follows a couple who find a Chitauri weapon in the aftermath of The Avengers' Battle of New York.
 E1453242 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: Item 47 | Statement: [Marvel One-Shot: Item 47, title, Item 47]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Item 47
Context triple: [Marvel One-Shot: Item 47, title, Item 47]
  • A. S47
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • B. A47
    The A47 is a major road in the United Kingdom that runs across eastern England, linking Birmingham and the Midlands to cities such as Leicester, Peterborough, and Great Yarmouth.
  • C. A470
    A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
  • D. H247
    H247 is the internal model code for the second-generation Mercedes-Benz GLA compact luxury crossover SUV.
  • E. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • 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: Item 47
Triple: [Marvel One-Shot: Item 47, title, Item 47]
Generated description
Item 47 is a Marvel One-Shot short film set in the Marvel Cinematic Universe that follows a couple who find a Chitauri weapon in the aftermath of The Avengers' Battle of New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Item 47
Target entity description: Item 47 is a Marvel One-Shot short film set in the Marvel Cinematic Universe that follows a couple who find a Chitauri weapon in the aftermath of The Avengers' Battle of New York.
  • A. S47
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • B. A47
    The A47 is a major road in the United Kingdom that runs across eastern England, linking Birmingham and the Midlands to cities such as Leicester, Peterborough, and Great Yarmouth.
  • C. A470
    A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
  • D. H247
    H247 is the internal model code for the second-generation Mercedes-Benz GLA compact luxury crossover SUV.
  • E. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f7a1548190b6ef3f1cfad37c1c completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090077c1b4819097e2023cb63b3bb3 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0904888aa48190983a7102b22e9654 completed May 16, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0908594c3881909c7ef81dfb002c6f completed May 17, 2026, 12:14 a.m.
Created at: April 16, 2026, 12:41 p.m.