Triple
T27934065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 assault on Rihanna |
E708055
|
entity |
| Predicate | causedInjuryTo |
P14656
|
FINISHED |
| Object | Rihanna |
—
|
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: Rihanna | Statement: [2009 assault on Rihanna, causedInjuryTo, Rihanna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedInjuryTo Context triple: [2009 assault on Rihanna, causedInjuryTo, Rihanna]
-
A.
causeOfInjury
chosen
Indicates that one entity is the source or reason that another entity sustained an injury.
-
B.
causedAccident
Indicates that one entity is responsible for bringing about or initiating an accident involving another entity or situation.
-
C.
injuredIn
Indicates that an entity sustained an injury as a result of a specified event, situation, or action.
-
D.
allegedInjury
Indicates that an injury is claimed or asserted to have occurred, typically without being legally or factually established.
-
E.
hasInjuredPerson
Indicates that an entity has a person who has been harmed or injured associated with it.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 7:04 p.m.