Triple
T9766545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Buckman |
E237007
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | BookMooch |
E819311
|
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: BookMooch | Statement: [John Buckman, employer, BookMooch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BookMooch Context triple: [John Buckman, employer, BookMooch]
-
A.
BookMooch
chosen
BookMooch is an online book-swapping community where members can trade used books worldwide using a points-based system.
-
B.
Tripadvisor Rentals
Tripadvisor Rentals is a vacation rental platform, associated with Tripadvisor, that offers travelers a wide range of short-term rental properties worldwide.
-
C.
Bookouture
Bookouture is a UK-based digital-first publishing imprint known for its commercially successful e-books and focus on data-driven marketing.
-
D.
Vrbo
Vrbo is a vacation rental marketplace that connects travelers with owners and property managers offering homes, condos, cabins, and other short-term lodging options worldwide.
-
E.
Airbnb
Airbnb is a global online marketplace that connects people seeking short-term lodging or experiences with hosts offering accommodations and activities in locations around the world.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a15e408190909745cb1c30937d |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc46f170819081ecc5e85a0514c3 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:25 p.m.