Triple

T2249751
Position Surface form Disambiguated ID Type / Status
Subject The Cowardly Lion E49588 entity
Predicate travelsWith P881 FINISHED
Object Scarecrow E48999 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: Scarecrow | Statement: [The Cowardly Lion, travelsWith, Scarecrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarecrow
Context triple: [The Cowardly Lion, travelsWith, Scarecrow]
  • A. Scarecrow
    Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
  • B. The Scarecrow chosen
    The Scarecrow is a beloved fictional figure from L. Frank Baum’s Oz stories, known for his quest for a brain and his role as one of Dorothy’s loyal companions.
  • C. The Bat
    The Bat is a popular inverted boomerang-style roller coaster at Canada's Wonderland known for its intense forward and backward loops.
  • D. Robin
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • E. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ef74988190a0af51d983cf5658 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea86527d08190a1332d133fbd7293 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:47 p.m.