Triple

T11340375
Position Surface form Disambiguated ID Type / Status
Subject Princess Ahmanet E268578 entity
Predicate madePactWith P11164 FINISHED
Object Set E56545 NE FINISHED

How this triple was built (3 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: Set | Statement: [Princess Ahmanet, madePactWith, Set]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Set
Context triple: [Princess Ahmanet, madePactWith, Set]
  • A. Set chosen
    Set is an ancient Egyptian god associated primarily with chaos, storms, and disorder, often depicted as the adversary of his brother Osiris and the rival of Horus.
  • B. SETS
    SETS is the London Stock Exchange’s central electronic order book system used for automated trading of the most liquid UK securities.
  • C. SET
    SET is the Stock Exchange of Thailand, the primary securities exchange for trading stocks and other financial instruments in Thailand.
  • D. SET
    SET is an open-source penetration testing framework focused on social engineering attacks, commonly used by security professionals to simulate and assess human-targeted vulnerabilities.
  • E. NSSet
    NSSet is an Objective-C collection class that represents an unordered, unique set of objects, commonly used in Cocoa and Cocoa Touch frameworks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: madePactWith
Context triple: [Princess Ahmanet, madePactWith, Set]
  • A. protagonistMakesPactWith
    Indicates that the protagonist enters into a formal or binding agreement, often with significant consequences, with another entity.
  • B. covenantWith chosen
    Indicates a formal, binding agreement or promise established between two or more parties.
  • C. hasOathTo
    Indicates a relationship in which one entity is bound by an oath or sworn commitment to another entity.
  • D. committed
    Indicates that an agent has carried out or been responsible for a specific act, event, or wrongdoing.
  • E. negotiatedInSecret
    Indicates that the parties conducted negotiations privately, without public knowledge or disclosure.
  • F. None of above.

Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55645d8bc8190b338c05ee382d5fc completed April 19, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69d787afe5a48190b8af1a3e19529641 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:33 p.m.