Triple

T5113113
Position Surface form Disambiguated ID Type / Status
Subject Wildlife on One E115262 entity
Predicate hasSpinOff P7226 FINISHED
Object Wildlife on Two E115262 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: Wildlife on Two | Statement: [Wildlife on One, hasSpinOff, Wildlife on Two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wildlife on Two
Context triple: [Wildlife on One, hasSpinOff, Wildlife on Two]
  • A. Wildlife on One chosen
    Wildlife on One is a long-running BBC television documentary series showcasing the behavior and habitats of wildlife around the world.
  • B. Wild Life
    Wild Life is the second studio album by Paul McCartney’s band Wings, known for its raw, unpolished sound and loose, spontaneous recording style.
  • C. Critter Country
    Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
  • D. Fauna
    Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
  • E. Fauna
    Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cba1e88190af076657f846b975 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.