Triple
T22506586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King George II stood during a London performance |
E556404
|
entity |
| Predicate | allegedConsequence |
P92478
|
FINISHED |
| Object | audience also stood |
—
|
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: audience also stood | Statement: [King George II stood during a London performance, allegedConsequence, audience also stood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedConsequence Context triple: [King George II stood during a London performance, allegedConsequence, audience also stood]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
announcedConsequence
Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
-
C.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
-
D.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
E.
hasConsequenceHypothesis
chosen
Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5cddf88190821d9c9fdee84160 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.