Triple
T5088270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Hill |
E114689
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Luis Colina
Luis Colina is a film editor known for his work on the movie "Sugar Hill."
|
E527389
|
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: Luis Colina | Statement: [Sugar Hill, editedBy, Luis Colina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Colina Context triple: [Sugar Hill, editedBy, Luis Colina]
-
A.
José Rijo
José Rijo is a former Dominican Major League Baseball pitcher best known for his standout performances with the Cincinnati Reds, including his dominant role in their 1990 championship run.
-
B.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
C.
Enrique Cerezo
Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
-
D.
Pedro Rollán
Pedro Rollán is a Spanish politician who serves as the president of the Senate of Spain.
-
E.
Manuel Rojas
Manuel Rojas was the husband of American film actress and model Martha Vickers.
- 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: Luis Colina Triple: [Sugar Hill, editedBy, Luis Colina]
Generated description
Luis Colina is a film editor known for his work on the movie "Sugar Hill."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Colina Target entity description: Luis Colina is a film editor known for his work on the movie "Sugar Hill."
-
A.
José Rijo
José Rijo is a former Dominican Major League Baseball pitcher best known for his standout performances with the Cincinnati Reds, including his dominant role in their 1990 championship run.
-
B.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
C.
Enrique Cerezo
Enrique Cerezo is a Spanish film producer and businessman best known for serving as the long-time president of Atlético de Madrid football club.
-
D.
Pedro Rollán
Pedro Rollán is a Spanish politician who serves as the president of the Senate of Spain.
-
E.
Manuel Rojas
Manuel Rojas was the husband of American film actress and model Martha Vickers.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75219a94819094fc54c1df448470 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe61a2cd8819089ea67309d284be4 |
completed | March 22, 2026, 12:52 p.m. |
| NEDg | Description generation | batch_69bfe686b99881908bb9a952d5c120c9 |
completed | March 22, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfe6e8d18c8190a676e59cd16d6b12 |
completed | March 22, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:40 p.m.