Triple
T12657847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Mick's Gym |
E302333
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object |
Rocky
Rocky is a classic American sports drama film franchise centered on underdog boxer Rocky Balboa and his personal and professional struggles in and out of the ring.
|
E10224
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Mighty Mick's Gym, franchise, Rocky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky Context triple: [Mighty Mick's Gym, franchise, Rocky]
-
A.
Rocky
Rocky is a classic 1976 American sports drama film starring Sylvester Stallone as an underdog boxer who gets an unlikely shot at the world heavyweight title.
-
B.
Rocky
Rocky is the pet dog of Cleveland Brown Jr. in the animated television series "The Cleveland Show."
-
C.
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.
-
D.
Rocky
Rocky is the nickname of Rocky Anderson, an American lawyer and politician who served as mayor of Salt Lake City.
-
E.
Rocky
Rocky is a Hindi-language Bollywood film featuring Indian cinema icon Shammi Kapoor in a prominent role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rocky Triple: [Mighty Mick's Gym, franchise, Rocky]
Generated description
Rocky is a classic American sports drama film franchise centered on underdog boxer Rocky Balboa and his personal and professional struggles in and out of the ring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocky Target entity description: Rocky is a classic American sports drama film franchise centered on underdog boxer Rocky Balboa and his personal and professional struggles in and out of the ring.
-
A.
Rocky
chosen
Rocky is a classic 1976 American sports drama film starring Sylvester Stallone as an underdog boxer who gets an unlikely shot at the world heavyweight title.
-
B.
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.
-
C.
Rocky
Rocky is a Hindi-language Bollywood film featuring Indian cinema icon Shammi Kapoor in a prominent role.
-
D.
Rocky
Rocky is a charismatic, adventurous rooster who serves as one of the central protagonists in the animated Chicken Run film series.
-
E.
Rocky
Rocky is the nickname of Rocky Anderson, an American lawyer and politician who served as mayor of Salt Lake City.
- F. None of above.
Provenance (5 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6749c2ddc8190945270e6e5b210dd |
completed | May 2, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:19 p.m.