Triple
T12699113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Weathers |
E303409
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rocky III |
E13059
|
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: Rocky III | Statement: [Carl Weathers, notableWork, Rocky III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky III Context triple: [Carl Weathers, notableWork, Rocky III]
-
A.
Rocky III
chosen
Rocky III is a 1982 American sports drama film in the Rocky franchise that follows boxer Rocky Balboa as he faces a fierce new challenger and copes with the loss of his longtime trainer.
-
B.
Rocky IV
Rocky IV is a 1985 American sports drama film in the Rocky franchise, in which boxer Rocky Balboa faces Soviet fighter Ivan Drago amid Cold War tensions.
-
C.
Rocky II
Rocky II is a 1979 American sports drama film that continues the story of underdog boxer Rocky Balboa as he prepares for a rematch with heavyweight champion Apollo Creed.
-
D.
Rocky
Rocky is the given name of American football coach Rocky Long, known for his long career leading various college teams.
-
E.
Rocky
Rocky is a resourceful mixed-breed pup from PAW Patrol known for his love of recycling and inventive use of repurposed materials to solve problems.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746077b288190b8ca7927352a7904 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 5:22 p.m.