Triple
T15647412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Andes |
E376216
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Away All Boats |
E1016275
|
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: Away All Boats | Statement: [Keith Andes, notableWork, Away All Boats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Away All Boats Context triple: [Keith Andes, notableWork, Away All Boats]
-
A.
Away All Boats
chosen
Away All Boats is a 1956 World War II naval film centered on the crew of a U.S. attack transport ship in the Pacific theater.
-
B.
The Boat
The Boat is a notable work associated with Joe Roberts, recognized for its creative and artistic significance.
-
C.
For a Boat
"For a Boat" is a song by American country artist Luke Bryan from his album "Born Here Live Here Die Here."
-
D.
A Bigger Boat
A Bigger Boat is a film and television production company known for developing genre-driven and independent projects.
-
E.
Overboard
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.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.