Triple
T3211529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Delany |
E67291
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | China Beach |
E196517
|
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: China Beach | Statement: [Dana Delany, notableWork, China Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Beach Context triple: [Dana Delany, notableWork, China Beach]
-
A.
China Beach
China Beach is a small, scenic cove and sandy beach in San Francisco known for its views of the Golden Gate Bridge and the Marin Headlands.
-
B.
China Beach
chosen
China Beach is an American television drama series set during the Vietnam War that focuses on the lives of medical and military personnel at an evacuation hospital.
-
C.
Anchors Aweigh
Anchors Aweigh is a 1945 MGM musical film best known for its song-and-dance numbers and Gene Kelly’s iconic live-action/animation sequence with Jerry Mouse.
-
D.
Shoremen
Shoremen is the nickname for the men's athletic teams representing Washington College in intercollegiate sports.
-
E.
Good Morning, Vietnam
Good Morning, Vietnam is a 1987 comedy-drama film starring Robin Williams as an irreverent radio DJ entertaining U.S. troops during the Vietnam War.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262326d508190a4a702ed549fed99 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.