Triple
T7451755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disenchanted |
E172023
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Oscar Nunez
Oscar Nunez is a Cuban-American actor and comedian best known for his role as accountant Oscar Martinez on the U.S. version of the television series "The Office."
|
E274290
|
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: Oscar Nunez | Statement: [Disenchanted, starring, Oscar Nunez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Nunez Context triple: [Disenchanted, starring, Oscar Nunez]
-
A.
Oscar Martinez
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
B.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
C.
Anthony Muñoz
Anthony Muñoz is a legendary former offensive tackle widely regarded as one of the greatest players in NFL history.
-
D.
Omar Linares
Omar Linares is a legendary Cuban third baseman widely regarded as one of the greatest players in the history of Cuban baseball.
-
E.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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: Oscar Nunez Triple: [Disenchanted, starring, Oscar Nunez]
Generated description
Oscar Nunez is a Cuban-American actor and comedian best known for his role as accountant Oscar Martinez on the U.S. version of the television series "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oscar Nunez Target entity description: Oscar Nunez is a Cuban-American actor and comedian best known for his role as accountant Oscar Martinez on the U.S. version of the television series "The Office."
-
A.
Oscar Martinez
chosen
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
B.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
C.
Anthony Muñoz
Anthony Muñoz is a legendary former offensive tackle widely regarded as one of the greatest players in NFL history.
-
D.
Omar Linares
Omar Linares is a legendary Cuban third baseman widely regarded as one of the greatest players in the history of Cuban baseball.
-
E.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- F. None of above.
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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856a8312881908a86c30706283a9c |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85765d1f48190b171ff87a15c5b74 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8580963748190b81bd7437259da28 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:14 p.m.