Triple
T2200678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fate of the Furious |
E50480
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ludacris |
E21124
|
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: Ludacris | Statement: [The Fate of the Furious, starring, Ludacris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludacris Context triple: [The Fate of the Furious, starring, Ludacris]
-
A.
Ludacris
chosen
Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
-
B.
50 Cent
50 Cent is an American rapper, actor, and entrepreneur known for his influential early-2000s hip-hop albums and his breakout debut "Get Rich or Die Tryin'."
-
C.
Nate Dogg
Nate Dogg was an American singer and rapper renowned for his smooth, melodic hooks and pivotal contributions to West Coast G-funk and 1990s hip hop.
-
D.
Warren G
Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
-
E.
Jeezy
Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dbb6e8481908610337cfd2a4bd1 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.