Triple

T2751125
Position Surface form Disambiguated ID Type / Status
Subject 1963 "Stand in the Schoolhouse Door" incident E60988 entity
Predicate aimOfWallace P38945 FINISHED
Object to block enrollment of Black students 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: to block enrollment of Black students | Statement: [1963 "Stand in the Schoolhouse Door" incident, aimOfWallace, to block enrollment of Black students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimOfWallace
Context triple: [1963 "Stand in the Schoolhouse Door" incident, aimOfWallace, to block enrollment of Black students]
  • A. aimOfAttacker chosen
    Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
  • B. aimsToProtect
    Indicates an intention or purpose to safeguard or defend one entity, value, or condition from harm, risk, or undesirable outcomes.
  • C. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • D. objectiveOfAttackers
    Indicates the target or goal that attackers aim to reach or affect through their attack.
  • E. inker
    Indicates that one entity serves as the inker for another, typically applying ink to finalize or enhance an existing drawing or artwork.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6b6f0c8190901ab032dfb21e37 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.