Triple

T26942563
Position Surface form Disambiguated ID Type / Status
Subject Yondu Udonta E678558 entity
Predicate banishmentReason P25587 FINISHED
Object trafficking children for Ego 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: trafficking children for Ego | Statement: [Yondu Udonta, banishmentReason, trafficking children for Ego]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: banishmentReason
Context triple: [Yondu Udonta, banishmentReason, trafficking children for Ego]
  • A. reasonForBan chosen
    Indicates the justification or cause that led to an entity being banned.
  • B. expulsionReason
    Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
  • C. reasonForPunishment
    Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
  • D. pardonReason
    Indicates the reason or justification for which a pardon is granted.
  • E. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • 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_69eeeb4d69588190a7c912164a1c37b3 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f620822d6081908e38814f5a1c0931 completed May 2, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 6:19 a.m.