Triple
T23238412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Bourdon |
E581366
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Xero |
—
|
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: Xero | Statement: [Rob Bourdon, associatedAct, Xero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xero Context triple: [Rob Bourdon, associatedAct, Xero]
-
A.
Xero
chosen
Xero was the original name of the American rock band Linkin Park during its early formation in the mid-1990s.
-
B.
Xero
Xero is a New Zealand–based cloud accounting software company that provides online bookkeeping and financial management tools for small and medium-sized businesses.
-
C.
Intuit
Intuit is an American financial software company best known for products like TurboTax, QuickBooks, and Mint that help individuals and small businesses manage taxes, accounting, and personal finance.
-
D.
Sage 50cloud
Sage 50cloud is a small and medium-sized business accounting software solution that combines traditional desktop functionality with cloud-connected features for bookkeeping, invoicing, and financial management.
-
E.
Paychex
Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.