Triple

T9753093
Position Surface form Disambiguated ID Type / Status
Subject Henry J. Waternoose III E236487 entity
Predicate alignmentAtStart P73774 FINISHED
Object seemingly benevolent 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: seemingly benevolent | Statement: [Henry J. Waternoose III, alignmentAtStart, seemingly benevolent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alignmentAtStart
Context triple: [Henry J. Waternoose III, alignmentAtStart, seemingly benevolent]
  • A. alignmentAtIntroduction chosen
    Indicates that two entities share a particular alignment or stance at the moment one is first introduced.
  • B. requiresAlignment
    Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
  • C. alignsWith
    Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
  • D. originallyAlignedWith
    Indicates that an entity was initially in agreement, support, or association with another entity or group, regardless of any later changes in stance or affiliation.
  • E. hasAlignment
    Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fae332c8190b11f0258b5a5ae2b completed April 1, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69cd03cc128c81908b84ef224f858b4e completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:24 p.m.