Triple
T5829646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Santos |
E129312
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Santos
Helen Santos is a fictional character in "The West Wing," known as the supportive and politically savvy wife of presidential candidate Matt Santos.
|
E557863
|
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: Helen Santos | Statement: [Matt Santos, spouse, Helen Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Santos Context triple: [Matt Santos, spouse, Helen Santos]
-
A.
Helen Lasichanh
Helen Lasichanh is a Laotian-Ethiopian model, designer, and stylist known for her distinctive fashion sense and marriage to musician Pharrell Williams.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Marlene Mathias
Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
-
D.
Mariana Keil
Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
-
E.
Diana Ossana
Diana Ossana is an American screenwriter and producer best known for co-writing the acclaimed film adaptation of "Brokeback Mountain."
- 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: Helen Santos Triple: [Matt Santos, spouse, Helen Santos]
Generated description
Helen Santos is a fictional character in "The West Wing," known as the supportive and politically savvy wife of presidential candidate Matt Santos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Santos Target entity description: Helen Santos is a fictional character in "The West Wing," known as the supportive and politically savvy wife of presidential candidate Matt Santos.
-
A.
Helen Lasichanh
Helen Lasichanh is a Laotian-Ethiopian model, designer, and stylist known for her distinctive fashion sense and marriage to musician Pharrell Williams.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Marlene Mathias
Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
-
D.
Mariana Keil
Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
-
E.
Diana Ossana
Diana Ossana is an American screenwriter and producer best known for co-writing the acclaimed film adaptation of "Brokeback Mountain."
- 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_69c0e35ad1a081908c908b6eef12d855 |
completed | March 23, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_69c0f1282148819086b9f1c24dcb0a46 |
completed | March 23, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f1a171c481909a897f342b6d6329 |
completed | March 23, 2026, 7:54 a.m. |
Created at: March 22, 2026, 3:54 p.m.