Triple
T18834971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resistiré |
E460636
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Daniel Fanego
Daniel Fanego is an Argentine actor known for his extensive work in film, television, and theater.
|
E1347656
|
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: Daniel Fanego | Statement: [Resistiré, castMember, Daniel Fanego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Fanego Context triple: [Resistiré, castMember, Daniel Fanego]
-
A.
Daniel Grao
Daniel Grao is a Spanish film, television, and stage actor known for his roles in works by director Pedro Almodóvar and various acclaimed Spanish TV series.
-
B.
Diego Fagúndez
Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
-
C.
Carlos Vega
Carlos Vega was a highly respected American session drummer known for his versatile work across pop, rock, and jazz recordings.
-
D.
James Royo
James Royo is a music producer best known for his work on Ty Dolla $ign’s album "Beach House 3."
-
E.
Sergio Vega
Sergio Vega is an American bassist best known for playing with the alternative metal band Deftones after the death of original bassist Chi Cheng.
- 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: Daniel Fanego Triple: [Resistiré, castMember, Daniel Fanego]
Generated description
Daniel Fanego is an Argentine actor known for his extensive work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Fanego Target entity description: Daniel Fanego is an Argentine actor known for his extensive work in film, television, and theater.
-
A.
Daniel Grao
Daniel Grao is a Spanish film, television, and stage actor known for his roles in works by director Pedro Almodóvar and various acclaimed Spanish TV series.
-
B.
Diego Fagúndez
Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
-
C.
Carlos Vega
Carlos Vega was a highly respected American session drummer known for his versatile work across pop, rock, and jazz recordings.
-
D.
James Royo
James Royo is a music producer best known for his work on Ty Dolla $ign’s album "Beach House 3."
-
E.
Sergio Vega
Sergio Vega is an American bassist best known for playing with the alternative metal band Deftones after the death of original bassist Chi Cheng.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575ade5988190aa12b36e5ae45fc0 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05763116908190b65f8c86655d9496 |
completed | May 14, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a057a19f3b88190a6b9dc4c20b39295 |
completed | May 14, 2026, 7:30 a.m. |
Created at: April 10, 2026, 11:56 a.m.