Triple

T5934810
Position Surface form Disambiguated ID Type / Status
Subject Israel in Egypt E132016 entity
Predicate notableAspectOfReception P35855 FINISHED
Object initially received coolly by audiences 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: initially received coolly by audiences | Statement: [Israel in Egypt, notableAspectOfReception, initially received coolly by audiences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAspectOfReception
Context triple: [Israel in Egypt, notableAspectOfReception, initially received coolly by audiences]
  • A. notableReception chosen
    Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • D. hasCulturalReception
    Indicates that an entity has been received, interpreted, or responded to within a particular cultural context or by a specific audience.
  • E. notablePraise
    Indicates that one entity has given significant or distinguished praise or commendation to 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03f26f51881908cc253fe5775a1fc completed March 22, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c03355caf08190b960563a1aed23f9 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4 p.m.