Triple

T4311050
Position Surface form Disambiguated ID Type / Status
Subject Judgment of Paris E94074 entity
Predicate rewardForParis P31175 FINISHED
Object Helen E145584 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: Helen | Statement: [Judgment of Paris, rewardForParis, Helen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen
Context triple: [Judgment of Paris, rewardForParis, Helen]
  • A. Helen
    Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
  • B. Helen chosen
    Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • C. Helen
    Helen is the mute, terrorized heroine of the classic 1946 psychological thriller film "The Spiral Staircase."
  • D. Helen
    Helen is the given first name of Violet Bonham Carter, a prominent British Liberal politician and orator of the 20th century.
  • E. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • 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: rewardForParis
Context triple: [Judgment of Paris, rewardForParis, Helen]
  • A. rewardFulfilledFor
    Indicates that a previously promised or expected reward has been delivered or satisfied for a particular entity.
  • B. rewardSignal
    Indicates that one entity provides a signal representing feedback or incentive (such as a reward or penalty) to guide another entity’s behavior or learning process.
  • C. rewardModel
    Indicates a relationship where one entity serves as a model or framework for assigning rewards or evaluating outcomes for another entity or process.
  • D. rewardUse
    Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
  • E. grantedAsRewardFor chosen
    Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d6cba08190a9440cee7b9dc40d completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75cd5c481908f76c510fec678f9 completed March 14, 2026, 8:38 p.m.
PD Predicate disambiguation batch_69b34f4a07b08190a06ada0d9cbb14fb completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:11 p.m.