Triple
T16023616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Santiago |
E388663
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Santiago
Santiago is a common Spanish-origin surname widely found in the Spanish-speaking world and among people of Hispanic heritage.
|
E1197128
|
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: Santiago | Statement: [Joey Santiago, familyName, Santiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago Context triple: [Joey Santiago, familyName, Santiago]
-
A.
Santiago
Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
-
B.
Santiago
Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
-
C.
Santiago
Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
-
D.
Santiago
Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
-
E.
Santiago
Santiago is the capital and largest city of Cape Verde, located on the island of Santiago in the central Atlantic Ocean.
- 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: Santiago Triple: [Joey Santiago, familyName, Santiago]
Generated description
Santiago is a common Spanish-origin surname widely found in the Spanish-speaking world and among people of Hispanic heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santiago Target entity description: Santiago is a common Spanish-origin surname widely found in the Spanish-speaking world and among people of Hispanic heritage.
-
A.
Santiago
Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
-
B.
Santiago
Santiago is a common Spanish given name, historically associated with Saint James and widely used across the Spanish-speaking world.
-
C.
Santiago
Santiago is the Spanish name traditionally used for James the Greater, one of the Twelve Apostles of Jesus and a major figure in Christian tradition.
-
D.
Santiago
Santiago is the surname of Puerto Rican Latin trap and reggaeton artist Anuel AA, whose full name is Emmanuel Gazmey Santiago.
-
E.
Santiago
Santiago is a city in western Guatemala near the Santiaguito lava dome complex, known for its proximity to significant volcanic activity.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18324bf308190b80bb445c7911198 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79031f88190bf129582deeed3b9 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff83b56288190a139f6fbf7b4d1b3 |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff89eb66481909441b9bdfcada550 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 4:55 a.m.