Triple
T36894106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Macheteros |
E911839
|
entity |
| Predicate | symbolicNameMeaning |
P32755
|
FINISHED |
| Object | The Machete Wielders |
—
|
NE NERFINISHED |
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: The Machete Wielders | Statement: [Los Macheteros, symbolicNameMeaning, The Machete Wielders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicNameMeaning Context triple: [Los Macheteros, symbolicNameMeaning, The Machete Wielders]
-
A.
symbolismOfName
Indicates that a name functions as a symbol, representing deeper meanings, qualities, or concepts beyond its literal reference.
-
B.
codeNameMeaning
chosen
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
-
C.
hasSymbolicInterpretation
Indicates that one entity is understood or used as a symbolic representation or metaphorical stand-in for another entity or concept.
-
D.
symbolicGarnishMeaning
Indicates that a garnish is used to convey a symbolic or metaphorical meaning beyond its decorative or flavor-enhancing role.
-
E.
languageOfSymbolism
Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:13 p.m.