Triple
T21363275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Lembeck |
E526838
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bikini Beach |
—
|
NE NERFINISHED |
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: Bikini Beach | Statement: [Harvey Lembeck, notableWork, Bikini Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikini Beach Context triple: [Harvey Lembeck, notableWork, Bikini Beach]
-
A.
Bikini Beach
chosen
Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
-
B.
Love Beach
Love Beach is a 1978 studio album by the progressive rock band Emerson, Lake & Palmer, noted for its more commercial sound and controversial reception among fans.
-
C.
Mothers Beach
Mothers Beach is a sheltered, family-friendly swimming beach in Mornington, Victoria, known for its calm waters and safe, shallow shoreline.
-
D.
Big Beach
Big Beach is a famous wide, golden-sand beach in Makena, Maui, known for its powerful shore break and scenic views.
-
E.
Big Beach
Big Beach is an independent film production company known for producing acclaimed character-driven movies such as "Little Miss Sunshine" and "The Farewell."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06cbcb481909ec9014da3b0a18a |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.