Triple

T2022183
Position Surface form Disambiguated ID Type / Status
Subject Batman Begins E44129 entity
Predicate character P662 FINISHED
Object Scarecrow
Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
 E225271 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: Scarecrow | Statement: [Batman Begins, character, Scarecrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scarecrow
Context triple: [Batman Begins, character, Scarecrow]
  • A. The Scarecrow
    The Scarecrow is a beloved fictional figure from L. Frank Baum’s Oz stories, known for his quest for a brain and his role as one of Dorothy’s loyal companions.
  • B. The Bat
    The Bat is a popular inverted boomerang-style roller coaster at Canada's Wonderland known for its intense forward and backward loops.
  • C. Robin
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • D. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • E. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • 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: Scarecrow
Triple: [Batman Begins, character, Scarecrow]
Generated description
Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scarecrow
Target entity description: Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
  • A. The Scarecrow
    The Scarecrow is a beloved fictional figure from L. Frank Baum’s Oz stories, known for his quest for a brain and his role as one of Dorothy’s loyal companions.
  • B. The Bat
    The Bat is a popular inverted boomerang-style roller coaster at Canada's Wonderland known for its intense forward and backward loops.
  • C. Robin
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • D. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • E. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8efbe148190901d3650aa60408a completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af60fac8190bc8c8a212a422305 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b8bd2bc8190a6f16519f3f6e924 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0bf5364c8190bffbbd211a5e11a6 completed March 8, 2026, 11:53 p.m.
Created at: March 4, 2026, 7:38 p.m.