Triple
T13977771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Aid |
E336229
|
entity |
| Predicate | raisedAmount |
P75026
|
FINISHED |
| Object | over £40 million |
—
|
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 £40 million | Statement: [Live Aid, raisedAmount, over £40 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisedAmount Context triple: [Live Aid, raisedAmount, over £40 million]
-
A.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
B.
approximateFundsRaised
chosen
Indicates an estimated amount of money that has been raised, rather than an exact or final total.
-
C.
raisedWith
Indicates that two or more entities grew up together in the same household or close environment during their formative years.
-
D.
raisedTo
Indicates that one entity has been elevated, lifted, or brought up to a higher level, position, or state by another entity.
-
E.
owedMoneyTo
Indicates that one entity has a financial obligation or debt that must be paid to 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.