Triple

T15165416
Position Surface form Disambiguated ID Type / Status
Subject Laughing Matter E362326 entity
Predicate hasPart P35 FINISHED
Object Scarecrow unclear NED1 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: [Laughing Matter, hasPart, Scarecrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarecrow
Context triple: [Laughing Matter, hasPart, Scarecrow]
  • A. Scarecrow
    Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
  • B. Scarecrow
    Scarecrow is a beloved character from L. Frank Baum’s Oz series, known for traveling with Dorothy to see the Wizard in hopes of gaining a brain despite already showing wisdom and kindness.
  • C. Scarecrow
    Scarecrow is a 1973 American road drama film directed by Jerry Schatzberg and starring Gene Hackman and Al Pacino as drifters traveling across the United States.
  • D. Scarecrow
    Scarecrow is a 1985 heartland rock album by John Mellencamp that blends socially conscious lyrics with a rootsy, Americana sound.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.