Triple
T5214384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Saldana |
E117712
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marco Perego-Saldaña
Marco Perego-Saldaña is an Italian artist and former professional soccer player who is married to actress Zoe Saldaña.
|
E507000
|
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: Marco Perego-Saldaña | Statement: [Zoe Saldana, spouse, Marco Perego-Saldaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Perego-Saldaña Context triple: [Zoe Saldana, spouse, Marco Perego-Saldaña]
-
A.
Andrés Saliquet
Andrés Saliquet was a Spanish Nationalist general during the Spanish Civil War who held several key commands in major campaigns.
-
B.
Sebastián Pozas
Sebastián Pozas was a Spanish Republican general and senior military commander during the Spanish Civil War.
-
C.
Fernando Grediaga
Fernando Grediaga is a Mexican actor best known for his role in Alfonso Cuarón’s acclaimed film "Roma" (2018).
-
D.
Nicolás Sánchez
Nicolás Sánchez is an Argentine rugby union fly-half renowned for his prolific goal-kicking and playmaking, notably starring as the leading points scorer at the 2015 Rugby World Cup.
-
E.
Artur Paredes
Artur Paredes was a seminal Portuguese guitarist and composer who modernized the Coimbra style of fado and influenced generations of fado musicians.
- 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: Marco Perego-Saldaña Triple: [Zoe Saldana, spouse, Marco Perego-Saldaña]
Generated description
Marco Perego-Saldaña is an Italian artist and former professional soccer player who is married to actress Zoe Saldaña.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marco Perego-Saldaña Target entity description: Marco Perego-Saldaña is an Italian artist and former professional soccer player who is married to actress Zoe Saldaña.
-
A.
Andrés Saliquet
Andrés Saliquet was a Spanish Nationalist general during the Spanish Civil War who held several key commands in major campaigns.
-
B.
Sebastián Pozas
Sebastián Pozas was a Spanish Republican general and senior military commander during the Spanish Civil War.
-
C.
Fernando Grediaga
Fernando Grediaga is a Mexican actor best known for his role in Alfonso Cuarón’s acclaimed film "Roma" (2018).
-
D.
Nicolás Sánchez
Nicolás Sánchez is an Argentine rugby union fly-half renowned for his prolific goal-kicking and playmaking, notably starring as the leading points scorer at the 2015 Rugby World Cup.
-
E.
Artur Paredes
Artur Paredes was a seminal Portuguese guitarist and composer who modernized the Coimbra style of fado and influenced generations of fado musicians.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe5aabbc8190bc09eaffb5ec9776 |
completed | March 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69beff0dda548190831d34282afa9b8e |
completed | March 21, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beff6890f4819088cb053bcdb4f8a1 |
completed | March 21, 2026, 8:28 p.m. |
Created at: March 20, 2026, 1:47 p.m.