Triple
T10090457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floyd Crosby |
E215328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bikini Beach
Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
|
E840933
|
NE FINISHED |
How this triple was built (4 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: Bikini Beach | Statement: [Floyd Crosby, notableWork, Bikini Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikini Beach Context triple: [Floyd Crosby, notableWork, Bikini Beach]
-
A.
Big Beach
Big Beach is a famous wide, golden-sand beach in Makena, Maui, known for its powerful shore break and scenic views.
-
B.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
C.
Paradise Beach
Paradise Beach is a popular scenic seaside destination near Puducherry, India, known for its clean sands, tranquil backwaters, and boat-accessible shoreline.
-
D.
Paradise Beach
Paradise Beach is a famous party-oriented sandy beach on the Greek island of Mykonos, known for its vibrant nightlife, beach clubs, and clear Aegean waters.
-
E.
Paradise Beach
Paradise Beach is a scenic, sandy shoreline on Paradise Island known for its clear waters and tropical island setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bikini Beach Triple: [Floyd Crosby, notableWork, Bikini Beach]
Generated description
Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bikini Beach Target entity description: Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
-
A.
Big Beach
Big Beach is a famous wide, golden-sand beach in Makena, Maui, known for its powerful shore break and scenic views.
-
B.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
C.
Paradise Beach
Paradise Beach is a popular scenic seaside destination near Puducherry, India, known for its clean sands, tranquil backwaters, and boat-accessible shoreline.
-
D.
Paradise Beach
Paradise Beach is a famous party-oriented sandy beach on the Greek island of Mykonos, known for its vibrant nightlife, beach clubs, and clear Aegean waters.
-
E.
Paradise Beach
Paradise Beach is a scenic, sandy shoreline on Paradise Island known for its clear waters and tropical island setting.
- F. None of above. chosen
Provenance (5 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b7901ea08190a48e984356bd3d71 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b8813f9c8190a85462efb7a0a517 |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:01 p.m.