Triple
T22413060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn Ahrens |
E554039
|
entity |
| Predicate | wroteLyricsFor |
P1141
|
FINISHED |
| Object | Rocky the Musical |
—
|
NE NERFINISHED |
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 the Musical | Statement: [Lynn Ahrens, wroteLyricsFor, Rocky the Musical]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky the Musical Context triple: [Lynn Ahrens, wroteLyricsFor, Rocky the Musical]
-
A.
Rocky the Musical
chosen
Rocky the Musical is a stage adaptation of the iconic "Rocky" boxing film franchise, featuring a blend of drama, romance, and high-energy fight choreography set to a contemporary musical score.
-
B.
Rocky Balboa (2006 film)
Rocky Balboa (2006 film) is a sports drama that revisits the iconic boxer in his later years as he comes out of retirement for one final, emotionally charged fight while reflecting on his legacy and personal loss.
-
C.
Rocky
Rocky is a Hindi-language Bollywood film featuring Indian cinema icon Shammi Kapoor in a prominent role.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.