Triple

T5254195
Position Surface form Disambiguated ID Type / Status
Subject AFI Award for Best Film E118658 entity
Predicate notableRecipient P108 FINISHED
Object Lion E62098 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: Lion | Statement: [AFI Award for Best Film, notableRecipient, Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lion
Context triple: [AFI Award for Best Film, notableRecipient, Lion]
  • A. Lion
    Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
  • B. Lion chosen
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • C. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • D. The African Lion
    The African Lion is a 1955 nature documentary film produced by Walt Disney that follows the lives and behavior of lions and other wildlife on the African savanna.
  • E. Lions
    The Lions are the athletic teams representing Lincoln University in Pennsylvania in intercollegiate sports.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.