Triple

T828889
Position Surface form Disambiguated ID Type / Status
Subject Chair J E17918 entity
Predicate followedBy P78 FINISHED
Object Chair K E18540 NE 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: Chair K | Statement: [Chair J, followedBy, Chair K]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chair K
Context triple: [Chair J, followedBy, Chair K]
  • A. Chair K chosen
    Chair K is one of the individual letter-designated seats in the Royal Spanish Academy, traditionally occupied by a distinguished scholar of the Spanish language.
  • B. Chair Q
    Chair Q is one of the letter-designated academic seats of the Royal Spanish Academy, occupied by a distinguished member responsible for contributing to the institution’s work on the Spanish language.
  • C. Chair U
    Chair U is one of the letter-designated academic seats of the Royal Spanish Academy, traditionally occupied by a distinguished scholar of the Spanish language.
  • D. Chair O
    Chair O is one of the numbered seats in the Royal Spanish Academy traditionally assigned to a distinguished member responsible for contributing to the institution’s work on the Spanish language.
  • E. Chair R
    Chair R is one of the individual letter-designated seats in the Royal Spanish Academy, traditionally occupied by a distinguished scholar of the Spanish language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab9b458881909aa23f0eb7cbc87f completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929458648190a88390a1a3207ad0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.