Triple
T15909839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodreads Choice Award for Humor |
E385816
|
entity |
| Predicate | votingPlatform |
P2726
|
FINISHED |
| Object | Goodreads |
E31210
|
NE 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: Goodreads | Statement: [Goodreads Choice Award for Humor, votingPlatform, Goodreads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodreads Context triple: [Goodreads Choice Award for Humor, votingPlatform, Goodreads]
-
A.
Goodreads
chosen
Goodreads is a popular social cataloging website where readers track, rate, review, and discover books and reading recommendations.
-
B.
oreads
Oreads are mountain and hill nymphs from Greek mythology, typically associated with rocky landscapes and high places.
-
C.
Goodreads Choice Awards
The Goodreads Choice Awards are annual, reader-voted book awards organized by the Goodreads platform, recognizing popular titles across a wide range of genres.
-
D.
BookLovers bookstore
BookLovers bookstore is a local bookshop known for employing Lily Manning and serving as a cozy community hub for readers.
-
E.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a5b0dc81909606d667c3bc0edf |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.