Triple
T5829647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Santos |
E129312
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Peter Santos
Peter Santos is a fictional character in "The West Wing," known as the young son of Congressman and future president Matt Santos.
|
E547897
|
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: Peter Santos | Statement: [Matt Santos, child, Peter Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Santos Context triple: [Matt Santos, child, Peter Santos]
-
A.
Al Lopez
Al Lopez was a Hall of Fame Major League Baseball manager and former catcher best known for leading the Cleveland Indians and Chicago White Sox to American League pennants in the 1950s and early 1960s.
-
B.
Jorge
Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
-
C.
Jorge
Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
-
D.
Jorge
Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
-
E.
Lou Antonio
Lou Antonio is an American actor and television director known for his work in film and TV from the 1960s onward, including roles in socially conscious dramas and popular series.
- 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: Peter Santos Triple: [Matt Santos, child, Peter Santos]
Generated description
Peter Santos is a fictional character in "The West Wing," known as the young son of Congressman and future president Matt Santos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Santos Target entity description: Peter Santos is a fictional character in "The West Wing," known as the young son of Congressman and future president Matt Santos.
-
A.
Al Lopez
Al Lopez was a Hall of Fame Major League Baseball manager and former catcher best known for leading the Cleveland Indians and Chicago White Sox to American League pennants in the 1950s and early 1960s.
-
B.
Jorge
Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
-
C.
Jorge
Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
-
D.
Jorge
Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
-
E.
Lou Antonio
Lou Antonio is an American actor and television director known for his work in film and TV from the 1960s onward, including roles in socially conscious dramas and popular series.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09866fd248190b4248a993051b732 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c0995672f08190acce2a14266ccf6a |
completed | March 23, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099fefd6c8190ae1b4480ef133f02 |
completed | March 23, 2026, 1:40 a.m. |
Created at: March 22, 2026, 3:54 p.m.