Triple
T10395066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Brand Is Crisis (2015 film) |
E244988
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Reynaldo Pacheco
Reynaldo Pacheco is a Bolivian-born actor known for his roles in films such as the political comedy-drama "Our Brand Is Crisis" (2015).
|
E916591
|
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: Reynaldo Pacheco | Statement: [Our Brand Is Crisis (2015 film), starring, Reynaldo Pacheco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynaldo Pacheco Context triple: [Our Brand Is Crisis (2015 film), starring, Reynaldo Pacheco]
-
A.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
B.
Raúl Chávez
Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
-
C.
Salvador Alvarado
Salvador Alvarado is a municipality in the Mexican state of Sinaloa, known for its agricultural activities and regional commerce.
-
D.
Jorge Robledo
Jorge Robledo was a 16th-century Spanish conquistador known for exploring and founding several settlements in what is now Colombia.
-
E.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
- 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: Reynaldo Pacheco Triple: [Our Brand Is Crisis (2015 film), starring, Reynaldo Pacheco]
Generated description
Reynaldo Pacheco is a Bolivian-born actor known for his roles in films such as the political comedy-drama "Our Brand Is Crisis" (2015).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reynaldo Pacheco Target entity description: Reynaldo Pacheco is a Bolivian-born actor known for his roles in films such as the political comedy-drama "Our Brand Is Crisis" (2015).
-
A.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
B.
Raúl Chávez
Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
-
C.
Salvador Alvarado
Salvador Alvarado is a municipality in the Mexican state of Sinaloa, known for its agricultural activities and regional commerce.
-
D.
Jorge Robledo
Jorge Robledo was a 16th-century Spanish conquistador known for exploring and founding several settlements in what is now Colombia.
-
E.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69e510f7bec08190989118b6e4a7fa49 |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5168c8da0819093bf61d8ea5f9e35 |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:06 p.m.