Triple
T19983715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Galbraith |
E493881
|
entity |
| Predicate | hasBookFormat |
P5128
|
FINISHED |
| Object | hardcover |
—
|
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: hardcover | Statement: [Robert Galbraith, hasBookFormat, hardcover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBookFormat Context triple: [Robert Galbraith, hasBookFormat, hardcover]
-
A.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
B.
hasPaperbackEdition
Indicates that one entity has a corresponding edition of itself that is published in paperback format.
-
C.
hasAnthologyFormat
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
-
D.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
E.
hasPublishingFormat
chosen
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d157d088190af861608936e59b7 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:28 p.m.