Triple
T6126229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter’s Bone |
E136602
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Affonso Gonçalves |
E129343
|
NE FINISHED |
How this triple was built (2 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: Affonso Gonçalves | Statement: [Winter’s Bone, editor, Affonso Gonçalves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affonso Gonçalves Context triple: [Winter’s Bone, editor, Affonso Gonçalves]
-
A.
Affonso Gonçalves
chosen
Affonso Gonçalves is a Brazilian-American film editor known for his work on acclaimed independent films and collaborations with directors like Jim Jarmusch and Todd Haynes.
-
B.
Antão Gonçalves
Antão Gonçalves was a 15th-century Portuguese navigator and explorer who took part in early Atlantic voyages that helped initiate Portugal’s Age of Discovery.
-
C.
António Gonçalves
António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
-
D.
João Sàágua
João Sàágua is a Portuguese academic and higher-education leader who serves as rector of NOVA University Lisbon.
-
E.
Joaquim de Almeida
Joaquim de Almeida is a Portuguese actor known for his charismatic portrayals of villains and antiheroes in international films and television, including prominent roles in action and crime dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c28dbbc8190a0a0c20ec794e81a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ebf33648190929d2e0b6b9faaec |
completed | March 23, 2026, 4:47 p.m. |
Created at: March 22, 2026, 4:15 p.m.