Triple

T11049985
Position Surface form Disambiguated ID Type / Status
Subject The Goonies E261219 entity
Predicate mainCharacter P1183 FINISHED
Object Andy
Andy is one of the central teenage protagonists in the 1985 adventure film "The Goonies," known for her cheerleader background and budding romance with Brand.
 E901323 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: [The Goonies, mainCharacter, Andy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy
Context triple: [The Goonies, mainCharacter, Andy]
  • A. 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.
  • B. Andy
    Andy is the central protagonist of the British film "Life Is Sweet," around whom the story’s domestic and emotional themes revolve.
  • C. Andy
    Andy is a common English given name, often used as a diminutive of Andrew.
  • D. Andy
    Andy is the immortal warrior leader portrayed by Charlize Theron in the action-fantasy film "The Old Guard."
  • 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: [The Goonies, mainCharacter, Andy]
Generated description
Andy is one of the central teenage protagonists in the 1985 adventure film "The Goonies," known for her cheerleader background and budding romance with Brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy
Target entity description: Andy is one of the central teenage protagonists in the 1985 adventure film "The Goonies," known for her cheerleader background and budding romance with Brand.
  • 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 young boy and original owner of the toys in Pixar's "Toy Story" film series.
  • C. 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.
  • D. Andy
    Andy is the son of Mrs. Emily Hardy.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b206c7a4819087eb06faa6e1af21 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.