Triple
T36411659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch of Messina |
E896894
|
entity |
| Predicate | perceptionByOtherCharacters |
P182591
|
FINISHED |
| Object | foolish |
—
|
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: foolish | Statement: [Watch of Messina, perceptionByOtherCharacters, foolish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionByOtherCharacters Context triple: [Watch of Messina, perceptionByOtherCharacters, foolish]
-
A.
perceivedCharacter
Indicates how one entity subjectively views or interprets the traits, qualities, or persona of another entity.
-
B.
perceivedRole
Indicates the role or function that one entity is regarded or interpreted as having in relation to another, based on perception rather than objective status.
-
C.
perceptionBySelf
Indicates that an entity has a perception, awareness, or sensory experience of itself.
-
D.
othersPerceiveCompanionAs
chosen
Indicates that other people perceive or regard the companion in a particular way or with a specific quality.
-
E.
playerPerception
Indicates how a player perceives, interprets, or becomes aware of another entity or event within a given context.
- 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_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.