Triple
T20411515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharks as execution method (film) |
E500596
|
entity |
| Predicate | hasRiskRepresentation |
P102289
|
FINISHED |
| Object | man-eating sharks |
—
|
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: man-eating sharks | Statement: [Sharks as execution method (film), hasRiskRepresentation, man-eating sharks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiskRepresentation Context triple: [Sharks as execution method (film), hasRiskRepresentation, man-eating sharks]
-
A.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
B.
riskDepicted
chosen
Indicates that a representation (such as an image, text, or symbol) portrays, illustrates, or conveys the presence or possibility of a particular risk.
-
C.
hasRiskyStrategy
Indicates that an entity employs or is associated with a strategy characterized by a high level of risk or potential for significant loss.
-
D.
hasWithdrawalRisk
Indicates that discontinuing or reducing something is associated with a risk of withdrawal effects or adverse reactions.
-
E.
riskListedBy
Indicates that a risk has been documented, identified, or cataloged by a particular agent or source.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.