Triple

T20866724
Position Surface form Disambiguated ID Type / Status
Subject The Egg E513781 entity
Predicate hasTitle P38 FINISHED
Object The Egg NE NERFINISHED

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 Egg | Statement: [The Egg, hasTitle, The Egg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Egg
Context triple: [The Egg, hasTitle, The Egg]
  • A. The Egg
    The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
  • B. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • C. The Egg
    The Egg is a dedicated children’s and young people’s theatre and creative arts space within the Theatre Royal Bath in England.
  • D. The Egg
    "The Egg" is a track by the electronic music producer Empyrean Isles, likely featuring atmospheric, experimental soundscapes characteristic of his style.
  • E. The Talking Eggs
    The Talking Eggs is a children's picture book retelling a Creole folktale about a kind girl who is rewarded with magical talking eggs, written by Robert D. San Souci and illustrated by Jerry Pinkney.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c460807c8190a337d8cc6c7b1438 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.