Triple
T6736639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Urrutia Lleó |
E153770
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Urrutia
Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
|
E614979
|
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: Urrutia | Statement: [Manuel Urrutia Lleó, familyName, Urrutia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urrutia Context triple: [Manuel Urrutia Lleó, familyName, Urrutia]
-
A.
Oteiza
Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
-
B.
Carabajal
Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Uruyén
Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
-
E.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
- 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: Urrutia Triple: [Manuel Urrutia Lleó, familyName, Urrutia]
Generated description
Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urrutia Target entity description: Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
-
A.
Oteiza
Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
-
B.
Carabajal
Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Uruyén
Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
-
E.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18369d88190a73349075462202b |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b09b97c8190a5a538571b6909f0 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bda97f08190bc6dab7177341876 |
completed | March 27, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:09 p.m.