Triple

T17082896
Position Surface form Disambiguated ID Type / Status
Subject Evenus E414517 entity
Predicate challengeReward P31175 FINISHED
Object marriage to Marpessa LITERAL FINISHED

How this triple was built (2 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: marriage to Marpessa | Statement: [Evenus, challengeReward, marriage to Marpessa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: challengeReward
Context triple: [Evenus, challengeReward, marriage to Marpessa]
  • A. offersRewardFor
    Indicates that one entity promises or provides a reward in exchange for another entity performing a specified action or achieving a particular outcome.
  • B. challengeUndertaken
    Indicates that an entity has accepted and is actively engaging in a specific challenge or demanding task.
  • C. challengeType
    Indicates the specific category or kind of challenge associated with an action or relationship between entities.
  • D. offeredRewardTo
    Indicates that one entity has proposed or promised a reward to another entity, typically as an incentive for a specific action or outcome.
  • 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 (3 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe4d3908190b23ce3c2d3fe7d14 completed April 18, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69e35d67b14481909fcdbdeaa5c34785 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:35 a.m.