Triple
T5133315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws franchise |
E115754
|
entity |
| Predicate | notableDirector |
P4744
|
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 franchise, notableDirector, Joe Alves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Alves Context triple: [Jaws franchise, notableDirector, 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.
Guilherme Leal
Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
-
C.
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.
-
D.
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).
-
E.
Jackson Silva
Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784ca5ac81909f1ec7544f5bbd26 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c9a14881908a8bf2f73ebf56f7 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.