Triple
T14479532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Trueba |
E359062
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Trueba
Trueba is a Spanish surname most notably associated with acclaimed film director and screenwriter Fernando Trueba.
|
E1100652
|
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: Trueba | Statement: [Fernando Trueba, familyName, Trueba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trueba Context triple: [Fernando Trueba, familyName, Trueba]
-
A.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
B.
Lobato
Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
-
C.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
D.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
-
E.
Betances
Betances is a Spanish-language surname most notably associated with Puerto Rican nationalist and abolitionist leader Ramón Emeterio Betances.
- 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: Trueba Triple: [Fernando Trueba, familyName, Trueba]
Generated description
Trueba is a Spanish surname most notably associated with acclaimed film director and screenwriter Fernando Trueba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trueba Target entity description: Trueba is a Spanish surname most notably associated with acclaimed film director and screenwriter Fernando Trueba.
-
A.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
B.
Lobato
Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
-
C.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
D.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
-
E.
Betances
Betances is a Spanish-language surname most notably associated with Puerto Rican nationalist and abolitionist leader Ramón Emeterio Betances.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a257488190818c65c1cc84c4b5 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd6609ed5c8190a5d2c5fe25ea1467 |
completed | May 8, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd666f81d08190a0d658b5949e0201 |
completed | May 8, 2026, 4:28 a.m. |
Created at: April 10, 2026, 1:20 a.m.