Triple

T33112244
Position Surface form Disambiguated ID Type / Status
Subject Araphor E847359 entity
Predicate enemyRuler P108097 FINISHED
Object Witch-king of Angmar NE NERFINISHED

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: Witch-king of Angmar | Statement: [Araphor, enemyRuler, Witch-king of Angmar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enemyRuler
Context triple: [Araphor, enemyRuler, Witch-king of Angmar]
  • A. opponentMonarch
    Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
  • B. enemyCharacter chosen
    Indicates that one character is hostile or opposed to another, typically treating them as an adversary or foe.
  • C. laterEnemyOf
    Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
  • D. enemyCharacterIn
    Indicates that a character is located within or present inside an enemy-controlled area, zone, or context.
  • E. primaryEnemy
    Indicates that one entity is the main or most significant adversary or opponent of 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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6ec34a481908851cd68697cb88c completed May 3, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69f6d27224708190b31a541cebe0ff77 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:27 a.m.