Triple
T36411660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch of Messina |
E896894
|
entity |
| Predicate | perceptionByAudience |
P177724
|
FINISHED |
| Object | humorous |
—
|
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: humorous | Statement: [Watch of Messina, perceptionByAudience, humorous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionByAudience Context triple: [Watch of Messina, perceptionByAudience, humorous]
-
A.
audiencePerspective
chosen
Indicates the viewpoint, stance, or frame of reference from which an audience interprets, experiences, or evaluates something.
-
B.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
C.
audienceOrientation
Indicates how something is directed, tailored, or positioned with respect to a particular audience or group of recipients.
-
D.
audienceImpact
Indicates how an action, message, or event affects, influences, or resonates with its intended audience.
-
E.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.