Triple
T15095967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Nation Entertainment (stake) |
E360536
|
entity |
| Predicate | economicInterestIn |
P72007
|
FINISHED |
| Object | Live Nation Entertainment revenues |
—
|
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: Live Nation Entertainment revenues | Statement: [Live Nation Entertainment (stake), economicInterestIn, Live Nation Entertainment revenues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicInterestIn Context triple: [Live Nation Entertainment (stake), economicInterestIn, Live Nation Entertainment revenues]
-
A.
economicView
Indicates a relationship where one entity holds or expresses a particular economic belief, stance, or perspective regarding economic systems, policies, or issues.
-
B.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
C.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
D.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
-
E.
hasEconomicInterest
chosen
Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005466e9c8190a68e1fbeb8922b1a |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.