Triple
T8064033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws 3-D |
E188196
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Joe Alves |
E299131
|
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: Joe Alves | Statement: [Jaws 3-D, director, Joe Alves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Alves Context triple: [Jaws 3-D, director, Joe Alves]
-
A.
Joe Alves
chosen
Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
-
B.
Leandro Barbosa
Leandro Barbosa is a Brazilian professional basketball player and NBA champion known for his speed and scoring ability, particularly during his tenure with the Phoenix Suns.
-
C.
Guilherme Leal
Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
-
D.
Bruno Campos
Bruno Campos is a Brazilian-American actor best known for his television roles in series like "Jesse" and "Nip/Tuck" and for his work as a voice performer in animated films.
-
E.
Justin Azevedo
Justin Azevedo is a Canadian professional ice hockey forward known for his high-scoring play in European leagues, particularly in the Kontinental Hockey League (KHL).
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fd07fd08190a3b61cb3369ee6a6 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63de88fc8190ac2c46edca324cec |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.