Triple

T15078659
Position Surface form Disambiguated ID Type / Status
Subject Lisa Banes E380075 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: [Lisa Banes, notableWork, China Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Beach
Context triple: [Lisa Banes, 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. September Beach
    September Beach is a scenic coastal beach within South Australia's Lincoln National Park, known for its tranquil waters, natural beauty, and opportunities for swimming and relaxation.
  • D. Gun Beach
    Gun Beach is a popular scenic beach on the northern end of Tumon Bay in Guam, known for its clear waters, snorkeling, and World War II-era relics.
  • E. 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.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d4f6a48190aeb42341b0c395a7 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:03 a.m.