Triple
T29347801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Box |
E744217
|
entity |
| Predicate | elucidates |
P56163
|
FINISHED |
| Object | concepts behind The Large Glass |
—
|
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: concepts behind The Large Glass | Statement: [The Green Box, elucidates, concepts behind The Large Glass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elucidates Context triple: [The Green Box, elucidates, concepts behind The Large Glass]
-
A.
clarifiesThat
chosen
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
B.
discloses
Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
-
C.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
D.
elegizes
Indicates composing or expressing a mournful or reflective lament, typically in honor of someone or something lost.
-
E.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669595a0881908ea97caf704fefb3 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:03 p.m.