Triple

T30659964
Position Surface form Disambiguated ID Type / Status
Subject Doctor Doom invades Wakanda E780495 entity
Predicate primaryObjectiveOfAntagonist P108466 FINISHED
Object seize vibranium resources 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: seize vibranium resources | Statement: [Doctor Doom invades Wakanda, primaryObjectiveOfAntagonist, seize vibranium resources]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryObjectiveOfAntagonist
Context triple: [Doctor Doom invades Wakanda, primaryObjectiveOfAntagonist, seize vibranium resources]
  • A. missionOfAntagonist chosen
    Indicates the primary goal, plan, or objective that the antagonist is actively pursuing.
  • B. primaryAntagonistType
    Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
  • C. targetOfAntagonists
    Indicates that the referenced entity is the object or focus of hostile actions, opposition, or conflict initiated by antagonistic parties.
  • D. primaryAntagonists
    Indicates that the referenced entities serve as the main opposing or adversarial forces in relation to a specified subject or narrative.
  • E. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • 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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a031b40c6d0819096f4b9787a1f09d1 completed May 12, 2026, 12:21 p.m.
PD Predicate disambiguation batch_6a03191f8ee08190b3416b044869ddfd completed May 12, 2026, 12:12 p.m.
Created at: April 29, 2026, 8:31 p.m.