Triple
T19505756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lammys |
E488016
|
entity |
| Predicate | hasNotableCategory |
P15481
|
FINISHED |
| Object | LGBTQ Poetry |
—
|
NE NERFINISHED |
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: LGBTQ Poetry | Statement: [Lammys, hasNotableCategory, LGBTQ Poetry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGBTQ Poetry Context triple: [Lammys, hasNotableCategory, LGBTQ Poetry]
-
A.
LGBTQ Poetry
chosen
LGBTQ Poetry is a literary genre comprising poems that explore lesbian, gay, bisexual, transgender, and queer experiences, identities, and themes.
-
B.
Poetry Please
Poetry Please is a long-running BBC Radio 4 programme that features listeners’ requests for classic and contemporary poetry, often introduced and read by notable poets and actors.
-
C.
Poems in Praise
Poems in Praise is a poetry collection by American poet and educator Paul Engle, reflecting his lyrical style and thematic focus on everyday life and human experience.
-
D.
LGBTQ Nonfiction
LGBTQ Nonfiction is a literary genre comprising factual works that explore the histories, experiences, identities, and issues of lesbian, gay, bisexual, transgender, and queer people.
-
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 (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.