Triple
T9429080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Dream |
E227326
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Mencía
"Mencía" is a song featured on the album *American Dream*, likely reflecting its themes of aspiration and personal struggle.
|
E800122
|
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: Mencía | Statement: [American Dream, hasTrack, Mencía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mencía Context triple: [American Dream, hasTrack, Mencía]
-
A.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
-
B.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
C.
Vilalba
Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
-
D.
Alcanena
Alcanena is a Portuguese municipality known for its traditional leather and tanning industry, located in the Centro Region of Portugal.
-
E.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
- 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: Mencía Triple: [American Dream, hasTrack, Mencía]
Generated description
"Mencía" is a song featured on the album *American Dream*, likely reflecting its themes of aspiration and personal struggle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mencía Target entity description: "Mencía" is a song featured on the album *American Dream*, likely reflecting its themes of aspiration and personal struggle.
-
A.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
-
B.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
C.
Vilalba
Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
-
D.
Alcanena
Alcanena is a Portuguese municipality known for its traditional leather and tanning industry, located in the Centro Region of Portugal.
-
E.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1149f6f6c81908ea2fce6f29ccb64 |
completed | April 4, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d115168d748190909687d39fb79e24 |
completed | April 4, 2026, 1:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.