Triple
T36418142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter 20 |
E897070
|
entity |
| Predicate | isContainedInBook |
P75974
|
FINISHED |
| Object | Twenty Letters to a Friend |
—
|
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: Twenty Letters to a Friend | Statement: [Letter 20, isContainedInBook, Twenty Letters to a Friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContainedInBook Context triple: [Letter 20, isContainedInBook, Twenty Letters to a Friend]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
includedInBook
chosen
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
-
C.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
D.
hasPositionInBook
Indicates that an entity occupies a specific position or location within a book.
-
E.
documentedInBook
Indicates that information about an entity is recorded or described within a particular book.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.