Triple
T23120564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leander Perez |
E576880
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Perez
Perez is a common Spanish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment worldwide.
|
E1570821
|
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: Perez | Statement: [Leander Perez, familyName, Perez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perez Context triple: [Leander Perez, familyName, Perez]
-
A.
Perez
Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
-
B.
Perez
Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
-
C.
Perez
Perez is a coastal municipality in the province of Quezon in the Philippines, known for its fishing communities and island landscapes.
-
D.
Sergio Pérez
Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
-
E.
Rudy Pérez
Rudy Pérez is a renowned Cuban-American music producer, songwriter, and arranger known for his influential work in Latin pop and collaborations with numerous international artists.
- 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: Perez Triple: [Leander Perez, familyName, Perez]
Generated description
Perez is a common Spanish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perez Target entity description: Perez is a common Spanish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment worldwide.
-
A.
Perez
Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
-
B.
Perez
Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
-
C.
Perez
Perez is a coastal municipality in the province of Quezon in the Philippines, known for its fishing communities and island landscapes.
-
D.
Sergio Pérez
Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
-
E.
Rudy Pérez
Rudy Pérez is a renowned Cuban-American music producer, songwriter, and arranger known for his influential work in Latin pop and collaborations with numerous international artists.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f050288190977d1e8ea85e56f2 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.