Triple
T13358510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 100 |
E318758
|
entity |
| Predicate | gateRevenueUSD |
P7218
|
FINISHED |
| Object | 5100000 |
—
|
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: 5100000 | Statement: [UFC 100, gateRevenueUSD, 5100000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gateRevenueUSD Context triple: [UFC 100, gateRevenueUSD, 5100000]
-
A.
ticketRevenueModel
Indicates the method or structure by which revenue is generated from ticket sales.
-
B.
ticketsSold
Indicates that a certain number of tickets have been purchased or distributed for a particular event or offering.
-
C.
admissionFee
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
D.
boxOfficeStatus
Indicates the commercial performance or financial success status of a film or media release at the box office.
-
E.
revenue
chosen
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.