Triple
T5434410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secondary Worlds |
E121571
|
entity |
| Predicate | hasEssayForm |
P13953
|
FINISHED |
| Object | lecture-based essays |
—
|
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: lecture-based essays | Statement: [Secondary Worlds, hasEssayForm, lecture-based essays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEssayForm Context triple: [Secondary Worlds, hasEssayForm, lecture-based essays]
-
A.
containsEssay
Indicates that one entity includes or holds an essay as part of its contents.
-
B.
hasWrittenForm
chosen
Indicates that an entity is associated with a specific written or textual representation.
-
C.
hasDecisionForm
Indicates that an entity is associated with, or represented by, a particular decision document or formal decision record.
-
D.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
-
E.
hasWorkForm
Indicates that an entity is associated with a particular form, format, or mode in which its work or activity is carried out or expressed.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:06 p.m.