Triple
T25354417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Kelmeckis |
E635778
|
entity |
| Predicate | favoriteBookInStory |
P146415
|
FINISHED |
| Object | The Catcher in the Rye |
—
|
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: The Catcher in the Rye | Statement: [Charlie Kelmeckis, favoriteBookInStory, The Catcher in the Rye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteBookInStory Context triple: [Charlie Kelmeckis, favoriteBookInStory, The Catcher in the Rye]
-
A.
favoriteBook
chosen
Indicates that one entity is the book that another entity likes best among all books.
-
B.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
-
C.
bookCharacteristic
Indicates that a particular characteristic, feature, or attribute is associated with a given book.
-
D.
literaryWorkInStory
Indicates that one literary work is referenced, featured, or embedded within the narrative of another story.
-
E.
يملكه_في_الرواية
Indicates that one entity possesses or owns another entity within the context of a narrative or story.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49e0075b88190ba626e6591f24ed8 |
completed | May 1, 2026, 12:35 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:35 p.m.