Triple

T20610501
Position Surface form Disambiguated ID Type / Status
Subject Advance Wars E506434 entity
Predicate notableCharacter P1481 FINISHED
Object Andy
Andy is a central protagonist and Orange Star commanding officer in the Advance Wars tactical role-playing game series, known for his youthful appearance and balanced, repair-focused abilities.
 E1439771 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: Andy | Statement: [Advance Wars, notableCharacter, Andy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy
Context triple: [Advance Wars, notableCharacter, Andy]
  • A. Andy
    Andy is the central protagonist of the British film "Life Is Sweet," around whom the story’s domestic and emotional themes revolve.
  • B. Andy
    Andy is the immortal warrior leader portrayed by Charlize Theron in the action-fantasy film "The Old Guard."
  • C. Andy
    Andy is a fictional character portrayed by actor Ryan Hansen, known for his comedic and often charmingly awkward roles.
  • D. Andy
    Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
  • E. Andy
    Andy is the son of Mrs. Emily Hardy.
  • 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: Andy
Triple: [Advance Wars, notableCharacter, Andy]
Generated description
Andy is a central protagonist and Orange Star commanding officer in the Advance Wars tactical role-playing game series, known for his youthful appearance and balanced, repair-focused abilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy
Target entity description: Andy is a central protagonist and Orange Star commanding officer in the Advance Wars tactical role-playing game series, known for his youthful appearance and balanced, repair-focused abilities.
  • A. Andy
    Andy is the young boy and original owner of the toys in Pixar's "Toy Story" film series.
  • B. Andy
    Andy is a fictional character portrayed by actor Ryan Hansen, known for his comedic and often charmingly awkward roles.
  • C. Andy
    Andy is a central character in the play "Animals Out of Paper," serving as a gifted but troubled high school student whose passion for origami deeply influences the story’s emotional arc.
  • D. Andy
    Andy is the central protagonist of the British film "Life Is Sweet," around whom the story’s domestic and emotional themes revolve.
  • E. Andy
    Andy is the immortal warrior leader portrayed by Charlize Theron in the action-fantasy film "The Old Guard."
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad6f53481908fb242947dda7028 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3f98e5c8190833d0e47b3e9585b completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b5a15a7c819099923f5a4d5f92c0 completed May 16, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_6a08b603cd8481908780f4670dabf4a0 completed May 16, 2026, 6:23 p.m.
Created at: April 16, 2026, 11:41 a.m.