Triple
T23475616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry A. Davis |
E570252
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ticketmaster |
—
|
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: Ticketmaster | Statement: [Terry A. Davis, employer, Ticketmaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ticketmaster Context triple: [Terry A. Davis, employer, Ticketmaster]
-
A.
Ticketmaster
chosen
Ticketmaster is a major global ticket sales and distribution company that provides ticketing services for concerts, sports, theater, and other live events.
-
B.
TMB Tickets
TMB Tickets is the official mobile application that allows users to purchase and manage public transport tickets for Barcelona’s metropolitan transit network.
-
C.
StubHub (former)
StubHub (former) is an online ticket marketplace that was previously owned by eBay and used for buying and selling event tickets.
-
D.
Eventim UK
Eventim UK is a British ticketing and live entertainment company that operates and manages major venues and events across the United Kingdom.
-
E.
ATG Tickets
ATG Tickets is a major UK-based ticketing company that sells and manages theatre and live entertainment tickets, primarily for venues operated by the Ambassador Theatre Group.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 6:01 p.m.