Triple
T3569226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spy Kids 3-D: Game Over |
E75526
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object |
Romero
Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
|
E369923
|
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: Romero | Statement: [Spy Kids 3-D: Game Over, portraysCharacter, Romero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romero Context triple: [Spy Kids 3-D: Game Over, portraysCharacter, Romero]
-
A.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
B.
Julián
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
-
C.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
D.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
- 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: Romero Triple: [Spy Kids 3-D: Game Over, portraysCharacter, Romero]
Generated description
Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romero Target entity description: Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
-
A.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
B.
Julián
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
-
C.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
D.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc62e1b481908310d7af56fb4889 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.