Triple
T19241830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcaic stanza |
E481150
|
entity |
| Predicate | oftenImitatedAs |
P31513
|
FINISHED |
| Object | accentual-syllabic pattern in modern languages |
—
|
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: accentual-syllabic pattern in modern languages | Statement: [Alcaic stanza, oftenImitatedAs, accentual-syllabic pattern in modern languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenImitatedAs Context triple: [Alcaic stanza, oftenImitatedAs, accentual-syllabic pattern in modern languages]
-
A.
canMimic
Indicates that one entity has the ability to imitate or reproduce the behavior, appearance, or characteristics of another entity.
-
B.
hasRapAlterEgoOf
Indicates that one entity is the rap-stage persona or alter ego used by another entity.
-
C.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
-
D.
emulates
chosen
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
E.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf2353c819094a9a1af3a858715 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.