Triple
T16785301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Del Ruth |
E407954
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ship Ahoy |
E497907
|
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: Ship Ahoy | Statement: [Roy Del Ruth, notableWork, Ship Ahoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ship Ahoy Context triple: [Roy Del Ruth, notableWork, Ship Ahoy]
-
A.
Ship Ahoy
chosen
Ship Ahoy is a 1942 American musical comedy film featuring Rags Ragland alongside Eleanor Powell and Red Skelton.
-
B.
Shipwreck Shore
Shipwreck Shore is a nautical-themed play and exploration area in Shanghai Disneyland’s Treasure Cove land, featuring interactive water elements and shipwreck scenery.
-
C.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
D.
Lightship Overfalls
Lightship Overfalls is a historic lightship museum moored in Lewes, Delaware, that once served as a floating lighthouse to aid maritime navigation.
-
E.
Sail Out
Sail Out is Jhené Aiko’s debut EP, a critically acclaimed R&B project that helped establish her introspective, atmospheric musical style.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21996cc81909deb88545af7079f |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab07bdcc819086479178e5b8b679 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.