Triple
T16378866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lake House |
E397746
|
entity |
| Predicate | hasGoodreadsID |
P28753
|
FINISHED |
| Object | 22341263 |
—
|
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: 22341263 | Statement: [The Lake House, hasGoodreadsID, 22341263]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoodreadsID Context triple: [The Lake House, hasGoodreadsID, 22341263]
-
A.
hasGoodreadsId
chosen
Indicates that an entity is associated with a specific identifier used by Goodreads to uniquely reference it in their system.
-
B.
hasGoodreadsWorkId
Indicates that an entity is associated with a specific Goodreads work identifier linking it to a work entry in the Goodreads database.
-
C.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
D.
bookMention
Indicates that one entity (such as a text, person, or source) makes reference to or cites a particular book.
-
E.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.