Triple
T5051582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shel Silverstein |
E113796
|
entity |
| Predicate | illustratedOwnBooks |
P2761
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shel Silverstein, illustratedOwnBooks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratedOwnBooks Context triple: [Shel Silverstein, illustratedOwnBooks, true]
-
A.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
B.
hasIllustrationsBy
chosen
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
C.
traditionalBooks
Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
-
D.
bookWriter
Indicates that a person is the author who wrote the specified book.
-
E.
seLibróEntre
Indicates that something or someone was freed or released amid, or in the context of, something else (e.g., a situation, group, or environment).
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7426fc8081908a8227f73168c235 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.