Triple
T16229192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Me |
E393933
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Danny De La Paz
Danny De La Paz is an American actor best known for his roles in influential Chicano-themed films such as "American Me" and "Boulevard Nights."
|
E1200905
|
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: Danny De La Paz | Statement: [American Me, hasCastMember, Danny De La Paz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny De La Paz Context triple: [American Me, hasCastMember, Danny De La Paz]
-
A.
Frank Cardea
Frank Cardea is an American television writer and producer best known for his long-running work on the crime drama series "NCIS."
-
B.
Michael Lira
Michael Lira is an Australian composer and musician known for his film and television scores, often blending experimental and atmospheric styles.
-
C.
Christian Bautista
Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
-
D.
Ritchie Diaz
Ritchie Diaz is a fictional character portrayed by actor Trevor Gagnon, likely appearing in a film or television production.
-
E.
David Díaz
David Díaz is a professional boxer best known for facing elite opponents such as Érik Morales during his career.
- 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: Danny De La Paz Triple: [American Me, hasCastMember, Danny De La Paz]
Generated description
Danny De La Paz is an American actor best known for his roles in influential Chicano-themed films such as "American Me" and "Boulevard Nights."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny De La Paz Target entity description: Danny De La Paz is an American actor best known for his roles in influential Chicano-themed films such as "American Me" and "Boulevard Nights."
-
A.
Frank Cardea
Frank Cardea is an American television writer and producer best known for his long-running work on the crime drama series "NCIS."
-
B.
Michael Lira
Michael Lira is an Australian composer and musician known for his film and television scores, often blending experimental and atmospheric styles.
-
C.
Christian Bautista
Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
-
D.
Ritchie Diaz
Ritchie Diaz is a fictional character portrayed by actor Trevor Gagnon, likely appearing in a film or television production.
-
E.
David Díaz
David Díaz is a professional boxer best known for facing elite opponents such as Érik Morales during his career.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079e83f08190a260751fd8b55eef |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00089a498c819092685d13f975e7cd |
completed | May 10, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0009042b288190b3a756354c04dfd3 |
completed | May 10, 2026, 4:26 a.m. |
Created at: April 10, 2026, 5:03 a.m.