Triple
T19386312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave McLean |
E484943
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Hot Rod |
—
|
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: Hot Rod | Statement: [Dave McLean, appearsIn, Hot Rod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Rod Context triple: [Dave McLean, appearsIn, Hot Rod]
-
A.
Hot Rod
Hot Rod is an American rapper best known for his work with 50 Cent’s G-Unit Records in the mid-2000s.
-
B.
Hot Rod
Hot Rod is a brave and impulsive young Autobot from the Transformers franchise who later becomes the leader Rodimus Prime.
-
C.
Hot Rod
chosen
Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
-
D.
Hot Rod
Hot Rod is the iconic ring name of Roddy Piper, a charismatic and brash professional wrestler best known for his influential role in the WWF/WWE during the 1980s.
-
E.
Hot Rod Girl
Hot Rod Girl is a 1956 American teen-oriented hot-rod crime drama film centered on street racing, juvenile delinquency, and small-town tensions.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b40d1148190b4fcd9ad56aa6910 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:35 p.m.