Triple
T25054672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Floyd Mayweather Jr. |
E627481
|
entity |
| Predicate | liveGateRevenue |
P151179
|
FINISHED |
| Object | over 70 million US dollars |
—
|
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: over 70 million US dollars | Statement: [Manny Pacquiao vs. Floyd Mayweather Jr., liveGateRevenue, over 70 million US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveGateRevenue Context triple: [Manny Pacquiao vs. Floyd Mayweather Jr., liveGateRevenue, over 70 million US dollars]
-
A.
hasGateRevenue
chosen
Indicates that an entity receives income from ticket sales or admissions (gate receipts) associated with another entity or event.
-
B.
hasRevenueSystem
Indicates that one entity possesses, uses, or is associated with a particular revenue-generating system or mechanism.
-
C.
revenueLevel
Indicates the relative amount or tier of revenue associated with an entity or activity.
-
D.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
E.
revenueUse
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f454a5472c81909604372f24db8d62 |
completed | May 1, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:09 a.m.