Triple
T6797939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Aragon |
E156103
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Javier Lambán
Javier Lambán is a Spanish politician from the Spanish Socialist Workers' Party (PSOE) who has served as president of the autonomous community of Aragon.
|
E653766
|
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: Javier Lambán | Statement: [President of Aragon, officeHoldersInclude, Javier Lambán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javier Lambán Context triple: [President of Aragon, officeHoldersInclude, Javier Lambán]
-
A.
Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
B.
José Manuel Jiménez
José Manuel Jiménez is a film editor known for his work on the action thriller sequel "Backdraft 2."
-
C.
Antonio Tavira
Antonio Tavira was a notable Spanish cleric and intellectual whose legacy is commemorated by the naming of the Tavira Tower.
-
D.
Pablo Palazuelo
Pablo Palazuelo was a Spanish abstract painter and sculptor renowned for his geometric, spiritually infused works and as a leading figure in postwar Spanish art.
-
E.
José Luis Ruiz
José Luis Ruiz is a Spanish actor known for his extensive work in film, television, and theater.
- 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: Javier Lambán Triple: [President of Aragon, officeHoldersInclude, Javier Lambán]
Generated description
Javier Lambán is a Spanish politician from the Spanish Socialist Workers' Party (PSOE) who has served as president of the autonomous community of Aragon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Javier Lambán Target entity description: Javier Lambán is a Spanish politician from the Spanish Socialist Workers' Party (PSOE) who has served as president of the autonomous community of Aragon.
-
A.
Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
B.
José Manuel Jiménez
José Manuel Jiménez is a film editor known for his work on the action thriller sequel "Backdraft 2."
-
C.
Antonio Tavira
Antonio Tavira was a notable Spanish cleric and intellectual whose legacy is commemorated by the naming of the Tavira Tower.
-
D.
Pablo Palazuelo
Pablo Palazuelo was a Spanish abstract painter and sculptor renowned for his geometric, spiritually infused works and as a leading figure in postwar Spanish art.
-
E.
José Luis Ruiz
José Luis Ruiz is a Spanish actor known for his extensive work in film, television, and theater.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ca0c288190a990180fb7cfd08f |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7daf7529c8190b70ac11fb4c9ba32 |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dbc1ff0c8190bc7639a74a5d3af3 |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6873a081908ea4e953430ec20b |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 2:15 p.m.