Triple
T2658476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beach |
E54669
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | The Beach (novel) |
E54669
|
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: The Beach (novel) | Statement: [The Beach, basedOn, The Beach (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Beach (novel) Context triple: [The Beach, basedOn, The Beach (novel)]
-
A.
The Beach
chosen
The Beach is a 2000 adventure drama film directed by Danny Boyle, starring Leonardo DiCaprio as a young traveler drawn into a secret island community in Thailand.
-
B.
The Beach
The Beach is the nickname for California State University, Long Beach, a large public university in Southern California known for its diverse student body and coastal campus.
-
C.
Sunset Beach
Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
-
D.
Regatta Point
Regatta Point is a prominent waterfront area and lookout in Canberra, Australia, offering scenic views over Lake Burley Griffin and housing the National Capital Exhibition.
-
E.
By the Sea
By the Sea is a 2015 romantic drama film starring Angelina Jolie and Brad Pitt as a troubled couple on a seaside vacation in 1970s France.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d535388190979a549dc2ce5f2f |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.