Triple

T15801919
Position Surface form Disambiguated ID Type / Status
Subject Second Teacher after Aristotle E383117 entity
Predicate honorificForContributionTo P65546 FINISHED
Object commentary on Aristotle 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: commentary on Aristotle | Statement: [Second Teacher after Aristotle, honorificForContributionTo, commentary on Aristotle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorificForContributionTo
Context triple: [Second Teacher after Aristotle, honorificForContributionTo, commentary on Aristotle]
  • A. honorificForAchievementIn chosen
    Indicates that an honorific title or designation is conferred in recognition of an achievement within a particular field, domain, or activity.
  • B. honorificForAction
    Indicates that a particular honorific or respectful form of address is used specifically in connection with performing a given action.
  • C. honorificSense
    Indicates that one entity refers to another using an honorific or respectful linguistic form.
  • D. honorificType
    Indicates the type or category of honorific or formal title associated with an entity in a given context.
  • E. honourOf
    Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b523bf508190af4a54bdc983a9a1 completed April 16, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e0053b847c8190945726c3ddac21cc completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:48 a.m.