Triple

T11049986
Position Surface form Disambiguated ID Type / Status
Subject The Goonies E261219 entity
Predicate mainCharacter P1183 FINISHED
Object Stef
Stef is a supporting member of the misfit kids’ group in the 1985 adventure film "The Goonies," known for her sarcastic wit and loyal friendship.
 E901324 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: Stef | Statement: [The Goonies, mainCharacter, Stef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stef
Context triple: [The Goonies, mainCharacter, Stef]
  • A. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • B. Stan
    Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
  • C. Stan
    Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
  • D. Stan
    "Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
  • E. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • 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: Stef
Triple: [The Goonies, mainCharacter, Stef]
Generated description
Stef is a supporting member of the misfit kids’ group in the 1985 adventure film "The Goonies," known for her sarcastic wit and loyal friendship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stef
Target entity description: Stef is a supporting member of the misfit kids’ group in the 1985 adventure film "The Goonies," known for her sarcastic wit and loyal friendship.
  • A. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • B. Stan
    Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
  • C. Stan
    Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
  • D. Stan
    "Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
  • E. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • 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.