Triple

T36480651
Position Surface form Disambiguated ID Type / Status
Subject Charlie (The Little Drummer Girl) E898804 entity
Predicate laterViews P202674 FINISHED
Object ambivalent toward both Israeli and Palestinian tactics 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: ambivalent toward both Israeli and Palestinian tactics | Statement: [Charlie (The Little Drummer Girl), laterViews, ambivalent toward both Israeli and Palestinian tactics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterViews
Context triple: [Charlie (The Little Drummer Girl), laterViews, ambivalent toward both Israeli and Palestinian tactics]
  • A. laterShow
    Indicates that one event, presentation, or showing occurs at a later time than another referenced event or showing.
  • B. subsequentView
    Indicates that one viewing event occurs after another in temporal order.
  • C. viewOnHereafter
    Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
  • D. laterEntriesFeature
    Indicates that the referenced entries appear at a later point in a sequence, timeline, or ordered collection than the current entry.
  • E. viewOnFuture
    Indicates a subject’s attitude, expectation, or perspective regarding future events or outcomes.
  • F. None of above. chosen

Provenance (4 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_69f76e5a0e088190a2b6706aeb41723c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00ab25c5b48190ad07ff508392ef56 completed May 10, 2026, 3:58 p.m.
PD Predicate disambiguation batch_6a00a8a5cfc48190bbe97fb2bbd1b947 completed May 10, 2026, 3:47 p.m.
PDg Predicate description generation batch_6a00ab24c4b0819088a8bba78f20b3d3 completed May 10, 2026, 3:58 p.m.
Created at: May 3, 2026, 4:10 p.m.