Triple
T6635473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Boodle |
E150438
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Victor Mendoza
Victor Mendoza was a Filipino actor known for his supporting roles in mid-20th-century Philippine and international films.
|
E606432
|
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: Victor Mendoza | Statement: [The Big Boodle, castMember, Victor Mendoza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Mendoza Context triple: [The Big Boodle, castMember, Victor Mendoza]
-
A.
César Mendoza
César Mendoza was a Chilean Carabineros general who became a prominent member of the military junta that ruled Chile following the 1973 coup d'état.
-
B.
Armando Dominguez
Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
-
C.
Francisco Verdugo
Francisco Verdugo was a Spanish military commander and governor in the Low Countries during the Eighty Years' War.
-
D.
Gus Molino
Gus Molino is the protagonist of the film "Sugar Hill," around whom the story’s central conflicts and developments revolve.
-
E.
Edgardo Alfonzo
Edgardo Alfonzo is a former Major League Baseball infielder best known for his standout years with the New York Mets in the late 1990s and early 2000s.
- 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: Victor Mendoza Triple: [The Big Boodle, castMember, Victor Mendoza]
Generated description
Victor Mendoza was a Filipino actor known for his supporting roles in mid-20th-century Philippine and international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victor Mendoza Target entity description: Victor Mendoza was a Filipino actor known for his supporting roles in mid-20th-century Philippine and international films.
-
A.
César Mendoza
César Mendoza was a Chilean Carabineros general who became a prominent member of the military junta that ruled Chile following the 1973 coup d'état.
-
B.
Armando Dominguez
Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
-
C.
Francisco Verdugo
Francisco Verdugo was a Spanish military commander and governor in the Low Countries during the Eighty Years' War.
-
D.
Gus Molino
Gus Molino is the protagonist of the film "Sugar Hill," around whom the story’s central conflicts and developments revolve.
-
E.
Edgardo Alfonzo
Edgardo Alfonzo is a former Major League Baseball infielder best known for his standout years with the New York Mets in the late 1990s and early 2000s.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcd9a608190a949eb55766d5701 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4518f4881909c0a56df993d2af6 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e57e4b5481908db848f119f2079a |
completed | March 27, 2026, 8:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e616701081909428e20d2a6ede4b |
completed | March 27, 2026, 8:18 p.m. |
Created at: March 27, 2026, 1:59 p.m.