Triple

T11756792
Position Surface form Disambiguated ID Type / Status
Subject Fables in Song E279545 entity
Predicate hasTitle P38 FINISHED
Object Fables in Song E279545 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: Fables in Song | Statement: [Fables in Song, hasTitle, Fables in Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fables in Song
Context triple: [Fables in Song, hasTitle, Fables in Song]
  • A. Fables in Song chosen
    Fables in Song is a collection of poetic fables by British writer and statesman Edward Bulwer-Lytton, blending moral tales with lyrical verse.
  • B. Fables
    Fables is a collection of satirical verse tales by John Gay that use animal characters and moral lessons to comment on human nature and society.
  • C. Fables
    Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
  • D. Fables
    Fables is a comic book series created by Bill Willingham that reimagines classic fairy-tale and folklore characters living in exile in modern-day New York City.
  • E. Fables and Reflections
    Fables and Reflections is a collection of mythic, historical, and dream-centered stories from Neil Gaiman’s The Sandman comic series, exploring themes of power, storytelling, and identity across different eras and cultures.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.