Triple

T13346888
Position Surface form Disambiguated ID Type / Status
Subject Sybil Seely E317975 entity
Predicate notableWork P4 FINISHED
Object The Scarecrow E951050 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: The Scarecrow | Statement: [Sybil Seely, notableWork, The Scarecrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Scarecrow
Context triple: [Sybil Seely, notableWork, The Scarecrow]
  • A. The Scarecrow
    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.
  • B. The Scarecrow chosen
    The Scarecrow is a work best known as a notable creation of writer Joe Roberts.
  • C. The Scarecrow
    The Scarecrow is a crime novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who exploits digital technology to stalk his victims.
  • D. The Scarecrow
    The Scarecrow is a symphonic power metal concept album by Tobias Sammet's project Avantasia, known for its elaborate storytelling and guest vocalists.
  • E. Scarecrow
    Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f439b3c8190b35fd4d097d65068 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.