Triple

T8159530
Position Surface form Disambiguated ID Type / Status
Subject Israel Beilin E190539 entity
Predicate notableWork P4 FINISHED
Object Always E187848 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: Always | Statement: [Israel Beilin, notableWork, Always]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Always
Context triple: [Israel Beilin, notableWork, Always]
  • A. Always
    "Always" is a power ballad by American rock band Bon Jovi, released in 1994 and known as one of their biggest global hits.
  • B. Always
    "Always" is a 1989 romantic fantasy film directed by Steven Spielberg, starring Richard Dreyfuss as a deceased pilot who returns as a spirit to guide his former lover and a young aviator.
  • C. Always chosen
    "Always" is a popular romantic song written by American composer Irving Berlin in 1925, often remembered as a classic standard of early 20th-century American music.
  • D. Always
    Always is a Procter & Gamble feminine hygiene brand best known for its sanitary pads and menstrual care products.
  • E. Sempre sempre
    "Sempre sempre" is a popular Italian song performed by Romina Power (with Al Bano), known as one of the duo’s signature romantic hits.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf21ab2c8190af23b4a3a4bdb543 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:38 p.m.