Triple
T21413543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listen, Darling |
E528238
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Scotty Beckett |
—
|
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: Scotty Beckett | Statement: [Listen, Darling, starring, Scotty Beckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scotty Beckett Context triple: [Listen, Darling, starring, Scotty Beckett]
-
A.
Scotty Beckett
chosen
Scotty Beckett was an American child actor best known for his roles in the "Our Gang" (Little Rascals) comedies and numerous films of the 1930s and 1940s.
-
B.
Scotty Emerick
Scotty Emerick is an American country music singer-songwriter best known for his frequent songwriting collaborations with Toby Keith.
-
C.
Scotty
Scotty is a diminutive form of the given name Scott, commonly used as a nickname or surname in English-speaking countries.
-
D.
Scotty
Scotty is the nickname of Scotty Bowman, the legendary National Hockey League coach widely regarded as one of the greatest in the sport’s history.
-
E.
Scotty
Scotty is the iconic Scottish Terrier game piece from the classic board game Monopoly.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b201ce1481908392c77e5ca40f5f |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:44 p.m.