Triple
T21272836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.O.D. |
E524310
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Wuv Bernardo
Wuv Bernardo is an American drummer best known as a founding member of the Christian nu metal band P.O.D.
|
E1474855
|
NE FINISHED |
How this triple was built (4 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: Wuv Bernardo | Statement: [P.O.D., hasMember, Wuv Bernardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuv Bernardo Context triple: [P.O.D., hasMember, Wuv Bernardo]
-
A.
Gerardo
Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
-
B.
Don Benito
Don Benito is a town in the province of Badajoz, in Spain’s Extremadura region, known for its agricultural economy and close association with the nearby town of Villanueva de la Serena.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Kid Gavilán
Kid Gavilán was a Cuban professional boxer renowned for his flashy "bolo punch" and successful reign as one of the premier welterweight champions of the early 1950s.
-
E.
Juan Rico
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wuv Bernardo Triple: [P.O.D., hasMember, Wuv Bernardo]
Generated description
Wuv Bernardo is an American drummer best known as a founding member of the Christian nu metal band P.O.D.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuv Bernardo Target entity description: Wuv Bernardo is an American drummer best known as a founding member of the Christian nu metal band P.O.D.
-
A.
Gerardo
Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
-
B.
Don Benito
Don Benito is a town in the province of Badajoz, in Spain’s Extremadura region, known for its agricultural economy and close association with the nearby town of Villanueva de la Serena.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Kid Gavilán
Kid Gavilán was a Cuban professional boxer renowned for his flashy "bolo punch" and successful reign as one of the premier welterweight champions of the early 1950s.
-
E.
Juan Rico
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
- F. None of above. chosen
Provenance (5 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73654ba148190a2eb0a06363cbd0b |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099006e7c081908aceb2a0574de81e |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0990b9b7c8819094f7db294c2e573d |
completed | May 17, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991cdf6408190a590d8907f2fe880 |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 4:01 p.m.