Triple
T10031321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Inferno |
E204858
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Manuel Riveiro
Manuel Riveiro is a film composer best known for scoring the horror movie "The Green Inferno."
|
E856630
|
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: Manuel Riveiro | Statement: [The Green Inferno, musicBy, Manuel Riveiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuel Riveiro Context triple: [The Green Inferno, musicBy, Manuel Riveiro]
-
A.
Francisco Leal
Francisco Leal is a young idealistic Chilean journalist who becomes involved in political resistance and a passionate romance in Isabel Allende’s novel "Of Love and Shadows."
-
B.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
C.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
D.
Manuel Medina
Manuel Medina is a Mexican former professional boxer and multiple-time featherweight world champion known for his technical skill and durability in the ring.
-
E.
Manuel Salgado
Manuel Salgado is a Portuguese architect best known for his influential public and cultural building designs, including major projects in Lisbon.
- 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: Manuel Riveiro Triple: [The Green Inferno, musicBy, Manuel Riveiro]
Generated description
Manuel Riveiro is a film composer best known for scoring the horror movie "The Green Inferno."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manuel Riveiro Target entity description: Manuel Riveiro is a film composer best known for scoring the horror movie "The Green Inferno."
-
A.
Francisco Leal
Francisco Leal is a young idealistic Chilean journalist who becomes involved in political resistance and a passionate romance in Isabel Allende’s novel "Of Love and Shadows."
-
B.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
C.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
D.
Manuel Medina
Manuel Medina is a Mexican former professional boxer and multiple-time featherweight world champion known for his technical skill and durability in the ring.
-
E.
Manuel Salgado
Manuel Salgado is a Portuguese architect best known for his influential public and cultural building designs, including major projects in Lisbon.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fc3f9608190b4472b2b87009cca |
completed | April 9, 2026, 7:05 a.m. |
| NEDg | Description generation | batch_69d751122d208190abaa4fd72a07643b |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d4aa908190a825322ebf0066af |
completed | April 9, 2026, 7:14 a.m. |
Created at: March 30, 2026, 8:54 p.m.