Triple
T4204686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Balboa Jr. |
E86154
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rocky Jr. |
E94245
|
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 Jr. | Statement: [Robert Balboa Jr., nickname, Rocky Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky Jr. Context triple: [Robert Balboa Jr., nickname, Rocky Jr.]
-
A.
Rocky Balboa
chosen
Rocky Balboa is a fictional underdog boxer from Philadelphia who becomes a world champion and cultural icon as the central character of the Rocky film series.
-
B.
Rocky
Rocky is the nickname of Rocky Wirtz, the late principal owner and chairman of the NHL’s Chicago Blackhawks.
-
C.
Rocky
Rocky is the pet dog of Cleveland Brown Jr. in the animated television series "The Cleveland Show."
-
D.
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.
-
E.
Rocky
Rocky is a stage musical adaptation of the iconic boxing film franchise, known for its dramatic underdog story and innovative, cinematic-style fight sequences on Broadway.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0382eafc8190946bf45bf28095dd |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a19c90c819083a750fafa6fd1c7 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.