Triple
T14068416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Boy Records |
E338536
|
entity |
| Predicate | released |
P16923
|
FINISHED |
| Object |
“O.P.P.”
“O.P.P.” is a 1991 hit hip hop single by Naughty by Nature that became widely popular for its catchy hook and playful, euphemistic lyrics.
|
E1077373
|
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: “O.P.P.” | Statement: [Tommy Boy Records, released, “O.P.P.”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “O.P.P.” Context triple: [Tommy Boy Records, released, “O.P.P.”]
-
A.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
B.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPPS
OPPS is the ICAO airport code for Bacha Khan International Airport in Peshawar, Pakistan.
-
E.
OPPT
OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
- 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: “O.P.P.” Triple: [Tommy Boy Records, released, “O.P.P.”]
Generated description
“O.P.P.” is a 1991 hit hip hop single by Naughty by Nature that became widely popular for its catchy hook and playful, euphemistic lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “O.P.P.” Target entity description: “O.P.P.” is a 1991 hit hip hop single by Naughty by Nature that became widely popular for its catchy hook and playful, euphemistic lyrics.
-
A.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
B.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPPS
OPPS is the ICAO airport code for Bacha Khan International Airport in Peshawar, Pakistan.
-
E.
OPPT
OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568d0404819087e0fe37c72162cb |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc17d16008190bfec11ba0c229aae |
completed | May 7, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc1fe9bb0819098aa2655330569cb |
completed | May 7, 2026, 4:46 p.m. |
Created at: April 9, 2026, 10:21 p.m.