Triple
T8486138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trash |
E200835
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Eduardo Luis
Eduardo Luis is an actor known for playing the character Trash.
|
E775004
|
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: Eduardo Luis | Statement: [Trash, portrayedBy, Eduardo Luis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eduardo Luis Context triple: [Trash, portrayedBy, Eduardo Luis]
-
A.
Diego de Losada
Diego de Losada was a 16th-century Spanish conquistador best known for founding the city of Caracas in present-day Venezuela.
-
B.
José Ignacio
José Ignacio is a small, upscale beach village in Uruguay known for its laid-back atmosphere, luxury retreats, and scenic Atlantic coastline.
-
C.
Manuel María Lombardini
Manuel María Lombardini was a Mexican general and brief interim president who played a notable military role during the Mexican–American War.
-
D.
Jorge Beauchef
Jorge Beauchef was a French-born military officer who became a key commander in the Chilean War of Independence, noted for his leadership in several crucial campaigns.
-
E.
José Fernando
José Fernando is the given name of José Fernando de Abascal, a Spanish military officer and colonial administrator who served as Viceroy of Peru in the early 19th century.
- 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: Eduardo Luis Triple: [Trash, portrayedBy, Eduardo Luis]
Generated description
Eduardo Luis is an actor known for playing the character Trash.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eduardo Luis Target entity description: Eduardo Luis is an actor known for playing the character Trash.
-
A.
Diego de Losada
Diego de Losada was a 16th-century Spanish conquistador best known for founding the city of Caracas in present-day Venezuela.
-
B.
José Ignacio
José Ignacio is a small, upscale beach village in Uruguay known for its laid-back atmosphere, luxury retreats, and scenic Atlantic coastline.
-
C.
Manuel María Lombardini
Manuel María Lombardini was a Mexican general and brief interim president who played a notable military role during the Mexican–American War.
-
D.
Jorge Beauchef
Jorge Beauchef was a French-born military officer who became a key commander in the Chilean War of Independence, noted for his leadership in several crucial campaigns.
-
E.
José Fernando
José Fernando is the given name of José Fernando de Abascal, a Spanish military officer and colonial administrator who served as Viceroy of Peru in the early 19th century.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeace262881909dedeb1a07e95279 |
completed | April 3, 2026, 4:29 p.m. |
| NEDg | Description generation | batch_69cfec2bde708190b73c7672625e912d |
completed | April 3, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee809b54819089d4d0d5c555e428 |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 30, 2026, 6:12 p.m.