Triple
T24098249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me and My Girlfriend |
E596986
|
entity |
| Predicate | hasMetaphoricalSubject |
P155063
|
FINISHED |
| Object | gun |
—
|
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: gun | Statement: [Me and My Girlfriend, hasMetaphoricalSubject, gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetaphoricalSubject Context triple: [Me and My Girlfriend, hasMetaphoricalSubject, gun]
-
A.
hasMetaphoricalForm
Indicates that one entity is expressed, represented, or understood through a metaphorical form or figurative expression involving another entity.
-
B.
hasMetaphoricalContent
Indicates that something contains or expresses meaning through metaphorical, rather than purely literal, content.
-
C.
hasMetaSubject
Indicates that an entity is associated with a subject at a meta-level, such as the topic, theme, or aboutness of the entity rather than its direct content or participants.
-
D.
keyMetaphor
Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
-
E.
primaryMetaphor
Indicates a fundamental conceptual mapping where one domain (often concrete or physical) is systematically understood in terms of another (often abstract), forming a basic metaphorical relationship between them.
- F. None of above. chosen
Provenance (4 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd2717d881909d1d0b270b758643 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 10:59 p.m.