Triple
T19394274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian MacAlpin |
E485145
|
entity |
| Predicate | symbolicActMeaning |
P102883
|
FINISHED |
| Object | rejection of being metaphorically eaten or consumed |
—
|
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: rejection of being metaphorically eaten or consumed | Statement: [Marian MacAlpin, symbolicActMeaning, rejection of being metaphorically eaten or consumed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicActMeaning Context triple: [Marian MacAlpin, symbolicActMeaning, rejection of being metaphorically eaten or consumed]
-
A.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
B.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
C.
symbolicGarnishMeaning
Indicates that a garnish is used to convey a symbolic or metaphorical meaning beyond its decorative or flavor-enhancing role.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
hasSymbolicInterpretation
chosen
Indicates that one entity is understood or used as a symbolic representation or metaphorical stand-in for another entity or concept.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b47630881909ba390888b8779f6 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.