Triple

T12555873
Position Surface form Disambiguated ID Type / Status
Subject American Jewish Congress Stephen S. Wise Award E295213 entity
Predicate targetRecipients P485 FINISHED
Object individuals 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: individuals | Statement: [American Jewish Congress Stephen S. Wise Award, targetRecipients, individuals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetRecipients
Context triple: [American Jewish Congress Stephen S. Wise Award, targetRecipients, individuals]
  • A. scopeOfRecipients chosen
    Indicates the range or group of recipients to whom something (such as information, communication, or benefits) is directed or applicable.
  • B. totalRecipients
    Indicates the total number of distinct entities that receive something in the context of the described relationship or action.
  • C. locationOfRecipients
    Indicates the place or geographic area where the intended recipients of something are situated.
  • D. targetsGroup
    Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
  • E. targetConstituents
    Indicates that a larger entity is directed toward, affects, or is specifically intended for certain constituent parts or members within a whole.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 11:47 p.m.