Triple
T21299698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonna Fly Now |
E525022
|
entity |
| Predicate | usedInFilm |
P795
|
FINISHED |
| Object |
Rocky
Rocky is a 1976 American sports drama film about an underdog boxer in Philadelphia who gets an unexpected shot at the world heavyweight championship.
|
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: [Gonna Fly Now, usedInFilm, Rocky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky Context triple: [Gonna Fly Now, usedInFilm, Rocky]
-
A.
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.
-
B.
Rocky
Rocky is the given name of American football coach Rocky Long, known for his long career leading various college teams.
-
C.
Rocky
Rocky is a fictional character named Rocky Thirteen Barker, commonly referred to by the given name Rocky.
-
D.
Rocky
Rocky is a member of the British electronic music production and DJ trio X-Press 2, known for their house and dance tracks.
-
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. 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: [Gonna Fly Now, usedInFilm, Rocky]
Generated description
Rocky is a 1976 American sports drama film about an underdog boxer in Philadelphia who gets an unexpected shot at the world heavyweight championship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocky Target entity description: Rocky is a 1976 American sports drama film about an underdog boxer in Philadelphia who gets an unexpected shot at the world heavyweight championship.
-
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 Hindi-language Bollywood film featuring Indian cinema icon Shammi Kapoor in a prominent role.
-
C.
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.
-
D.
Rocky
Rocky is a fictional character named Rocky Thirteen Barker, commonly referred to by the given name Rocky.
-
E.
Rocky
Rocky is a character who is trained and guided by the wise martial arts master Grandpa Mori Tanaka.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385b1c548190b940ded0163ee3ca |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099814529c8190a94cfd3355862d0f |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998b0c09081909f99cdd4064f55cc |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09993444c88190a5f594315b81c34a |
completed | May 17, 2026, 10:32 a.m. |
Created at: April 16, 2026, 4:05 p.m.