Triple
T22957250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Dixon |
E570792
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Overboard |
—
|
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: Overboard | Statement: [Leslie Dixon, wroteScreenplayFor, Overboard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overboard Context triple: [Leslie Dixon, wroteScreenplayFor, Overboard]
-
A.
Overboard
chosen
Overboard is a 1987 romantic comedy film starring Goldie Hawn and Kurt Russell, known for its amnesia-based plot and lighthearted take on class differences and family.
-
B.
Out of the Sinking
"Out of the Sinking" is a song by English singer-songwriter Paul Weller, featured on his acclaimed 1995 album "Stanley Road."
-
C.
The Wreck
The Wreck is a popular surf break off Byron Bay, Australia, known for the shipwreck that shapes its waves and distinctive lineup.
-
D.
Lost at Sea
Lost at Sea is a collaborative R&B mixtape by singer Jacquees and producer Birdman, blending smooth vocals with melodic trap-influenced production.
-
E.
Wrecked
"Wrecked" is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a lighthearted, suspenseful whodunit.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f21e588190a5a88a15c1b55dea |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.