Triple
T12941296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Spicer |
E309642
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Language poets |
E309654
|
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: Language poets | Statement: [Jack Spicer, influenced, Language poets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Language poets Context triple: [Jack Spicer, influenced, Language poets]
-
A.
Language poets
chosen
Language poets were an experimental group of late-20th-century American writers who emphasized the materiality of language and challenged traditional notions of lyric voice, narrative, and reference.
-
B.
Poets and Their Art
Poets and Their Art is a critical work by Harriet Monroe that explores the nature, craft, and cultural role of poetry and its creators.
-
C.
Muse of Poetry
The Muse of Poetry is a classical figure from Greek mythology who inspires poets and presides over the creation of verse and lyrical expression.
-
D.
Dunbar Poets
Dunbar Poets is the boys’ basketball team of Paul Laurence Dunbar High School in Baltimore, Maryland, renowned as a national powerhouse that has produced numerous elite college and professional players.
-
E.
Poetry
Poetry is a Python dependency management and packaging tool that simplifies creating, building, and publishing Python projects.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dca2ee88190b45fafe7d53c35c9 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af70f45c8190a40250da4a787d8f |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.