Triple

T23515549
Position Surface form Disambiguated ID Type / Status
Subject CONTROL E574352 entity
Predicate employsFictionalCharacter P26582 FINISHED
Object Larabee
Larabee is a bumbling yet loyal assistant character from the comedic spy franchise "Get Smart."
 E1591567 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: Larabee | Statement: [CONTROL, employsFictionalCharacter, Larabee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larabee
Context triple: [CONTROL, employsFictionalCharacter, Larabee]
  • A. Talleah
    Talleah is a prominent Venusian resistance leader portrayed by Zsa Zsa Gabor in the 1958 science-fiction film "Queen of Outer Space."
  • B. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • C. Rylane
    Rylane is a small rural village located in the northern part of County Cork, Ireland.
  • D. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • E. Tannis
    Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
  • 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: Larabee
Triple: [CONTROL, employsFictionalCharacter, Larabee]
Generated description
Larabee is a bumbling yet loyal assistant character from the comedic spy franchise "Get Smart."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larabee
Target entity description: Larabee is a bumbling yet loyal assistant character from the comedic spy franchise "Get Smart."
  • A. Talleah
    Talleah is a prominent Venusian resistance leader portrayed by Zsa Zsa Gabor in the 1958 science-fiction film "Queen of Outer Space."
  • B. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • C. Rylane
    Rylane is a small rural village located in the northern part of County Cork, Ireland.
  • D. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • E. Tannis
    Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf4acf7081909ea152eb4a634bab completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce210d8108190a6338389fcefb5a4 completed May 19, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce2bffdd8819081ef20b90bc0ae7b completed May 19, 2026, 10:22 p.m.
Created at: April 17, 2026, 6:08 p.m.