Triple
T1958130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenifer Lewis |
E42315
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beaches |
E60486
|
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: Beaches | Statement: [Jenifer Lewis, notableWork, Beaches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaches Context triple: [Jenifer Lewis, notableWork, Beaches]
-
A.
Beaches
chosen
Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
-
B.
Beach
Beach is the long-suffering butler in P. G. Wodehouse’s Blandings Castle stories, known for his dignified composure amid the eccentric chaos of the castle’s inhabitants.
-
C.
Shell Beach
Shell Beach is a scenic sandy beach on the small Channel Island of Herm, known for its clear waters and tranquil, car-free surroundings.
-
D.
Jersey Shore beaches
Jersey Shore beaches are a string of popular Atlantic Ocean coastal destinations in New Jersey known for their boardwalks, summer tourism, and lively seaside towns.
-
E.
Strand Beach
Strand Beach is a popular coastal recreation area in Oceanside, California, known for its sandy shoreline, ocean views, and beachside activities.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37e21cc8190b6e13b86bc93d594 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcc9ba48190985f48dbef1f2d94 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.