Triple
T16810831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuff and Link |
E408602
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Rocky film series |
E13871
|
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 film series | Statement: [Cuff and Link, fictionalUniverse, Rocky film series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky film series Context triple: [Cuff and Link, fictionalUniverse, Rocky film series]
-
A.
Rocky film series
chosen
The Rocky film series is a popular American sports drama franchise centered on underdog boxer Rocky Balboa’s personal and professional struggles and triumphs.
-
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 given name of American football coach Rocky Long, known for his long career leading various college teams.
-
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 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 (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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.