Triple
T7560426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle |
E178779
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jon Huertas
Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
|
E676647
|
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: Jon Huertas | Statement: [Castle, starring, Jon Huertas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Huertas Context triple: [Castle, starring, Jon Huertas]
-
A.
Oscar D’León
Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
-
B.
Rob Echeverria
Rob Echeverria is a guitarist best known for his work with the New York metal band Helmet.
-
C.
Greg Reyes
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
D.
Daniel Zaragoza
Daniel Zaragoza is a former Mexican professional boxer and long-reigning WBC super bantamweight champion known for his awkward southpaw style and multiple world title reigns.
-
E.
Adrian Molina
Adrian Molina is an American animator, storyboard artist, and filmmaker best known for co-directing Pixar’s acclaimed animated film "Coco."
- 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: Jon Huertas Triple: [Castle, starring, Jon Huertas]
Generated description
Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Huertas Target entity description: Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
-
A.
Oscar D’León
Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
-
B.
Rob Echeverria
Rob Echeverria is a guitarist best known for his work with the New York metal band Helmet.
-
C.
Greg Reyes
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
D.
Daniel Zaragoza
Daniel Zaragoza is a former Mexican professional boxer and long-reigning WBC super bantamweight champion known for his awkward southpaw style and multiple world title reigns.
-
E.
Adrian Molina
Adrian Molina is an American animator, storyboard artist, and filmmaker best known for co-directing Pixar’s acclaimed animated film "Coco."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8683978b48190971b4c38fd83d3cc |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c869588d008190adc28df91a99f09f |
completed | March 28, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86a1f1bfc8190b25597a030613e08 |
completed | March 28, 2026, 11:54 p.m. |
Created at: March 27, 2026, 3:50 p.m.