Triple
T21607039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Deportivo Marathón |
E533202
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Monstruo Verde |
—
|
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: Monstruo Verde | Statement: [Club Deportivo Marathón, nickname, Monstruo Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monstruo Verde Context triple: [Club Deportivo Marathón, nickname, Monstruo Verde]
-
A.
Monstruo Verde
chosen
Monstruo Verde is the popular nickname of Honduran football club C.D. Marathón, referencing its traditional green colors and fierce competitive identity.
-
B.
Monster Man
Monster Man is a 2003 American horror-comedy film known for its blend of slasher elements and dark humor.
-
C.
Monster
Monster is a popular energy drink brand known for its high-caffeine beverages and aggressive, extreme-sports-oriented marketing.
-
D.
Monster
Monster is a 1994 studio album by American rock band R.E.M. that marked a shift toward a louder, more distorted guitar sound and explored themes of celebrity and identity.
-
E.
Monster
"Monster" is a popular rock song by the Christian rock band Skillet, known for its heavy sound and themes of inner struggle and hidden darkness.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e6378881908678dc903b8ba6ac |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.