Triple
T35810174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styles Clash |
E1035206
|
entity |
| Predicate | safetyInstruction |
P97924
|
FINISHED |
| Object | opponent must keep head up |
—
|
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: opponent must keep head up | Statement: [Styles Clash, safetyInstruction, opponent must keep head up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyInstruction Context triple: [Styles Clash, safetyInstruction, opponent must keep head up]
-
A.
safetyAdvice
chosen
Indicates that one entity provides guidance or recommendations to another entity about how to avoid danger or reduce risk in a particular context.
-
B.
safetyLesson
Indicates that an entity conducts, provides, or is involved in a lesson or instruction focused on safety practices or precautions.
-
C.
safetyRequirement
Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
-
D.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
E.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:06 p.m.