Triple
T3898712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come and Get It |
E90433
|
entity |
| Predicate | artDirectionBy |
P7743
|
FINISHED |
| Object | Richard Day |
E333702
|
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: Richard Day | Statement: [Come and Get It, artDirectionBy, Richard Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Day Context triple: [Come and Get It, artDirectionBy, Richard Day]
-
A.
Richard Day
chosen
Richard Day was an acclaimed Hollywood art director and production designer known for his work on numerous classic films during the early to mid-20th century.
-
B.
Kenneth Dayes
Kenneth Dayes is a musician best known as a member of the Jamaican roots reggae band Culture.
-
C.
Dennis Day
Dennis Day was an American singer and comedic actor best known for his long-running role as the naive, sweet-voiced tenor on radio and television alongside Jack Benny.
-
D.
Russell Pearce
Russell Pearce is an American politician and former Arizona state senator best known for championing hardline immigration legislation, including the controversial SB 1070 law.
-
E.
David Hunt
David Hunt is a common name shared by several notable individuals, including politicians, actors, and authors.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca0f72c819084726f631a947f8c |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:21 p.m.